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class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Hartmut Schmeck" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/25349076/9382830/10457093/s200_hartmut.schmeck.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Hartmut Schmeck</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://kit.academia.edu/">Karlsruhe Institute of Technology (KIT)</a>, <a class="u-tcGrayDarker" href="https://kit.academia.edu/Departments/Institute_AIFB/Documents">Institute AIFB</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div 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data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">1</p></div></a><div class="js-mentions-count-container" style="display: none;"><a href="/HartmutSchmeck/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data"></p></div></a></div><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Professor of Applied Informatics at KIT, retired in 2018.KIT Distinguished Senior FellowDirector at FZI Research Center for Information Technology<br /><b>Address: </b>Germany<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div 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</a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Hartmut Schmeck</h3></div><div class="js-work-strip profile--work_container" data-work-id="94621358"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621358/Automated_generation_of_models_for_demand_side_flexibility_using_machine_learning_an_overview"><img alt="Research paper thumbnail of Automated generation of models for demand side flexibility using machine learning – an overview" class="work-thumbnail" src="https://attachments.academia-assets.com/97027541/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621358/Automated_generation_of_models_for_demand_side_flexibility_using_machine_learning_an_overview">Automated generation of models for demand side flexibility using machine learning – an overview</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flexibility in consumption and production provided by distributed energy resources (DERs) is a ke...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Flexibility in consumption and production provided by distributed energy resources (DERs) is a key to the integration of renewable energy sources into the energy system. However, even for identical DERs, the flexibility can vary widely, based on local constraints and circumstances. Therefore, handcrafting models can be labor-intensive and automating the generation of models could help increasing the volume of controllable flexibility in smart grids. Depending on the underlying mechanism for controlling demand side flexibility, there are various ways how an automation can be achieved. In this paper, we discuss fundamental concepts relevant to the automated generation of models for demand side flexibility, give an overview of different approaches, and point out fundamental differences. The main focus lies on model generation by means of machine learning techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07261146030666a37b6513a6d02c4df4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027541,"asset_id":94621358,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027541/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621358"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621358"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621358; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621357"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621357/08141_Abstracts_Collection_Organic_Computing_Controlled_Self_organization"><img alt="Research paper thumbnail of 08141 Abstracts Collection – Organic Computing - Controlled Self-organization" class="work-thumbnail" src="https://attachments.academia-assets.com/97027601/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621357/08141_Abstracts_Collection_Organic_Computing_Controlled_Self_organization">08141 Abstracts Collection – Organic Computing - Controlled Self-organization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 &quot;Organic Computing - Controlle...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 &quot;Organic Computing - Controlled Self-organization&quot;&#39; was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a96096531381b4e4b41d28e212ca27b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027601,"asset_id":94621357,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027601/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621357"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621357"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621357; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94621357]").text(description); $(".js-view-count[data-work-id=94621357]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94621357; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94621357']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621356"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621356/Report_from_Dagstuhl_Seminar_15091_Smart_Buildings_and_Smart_Grids_1_Executive_Summary_Creative_Commons_BY_3_0_Unported_license"><img alt="Research paper thumbnail of Report from Dagstuhl Seminar 15091 Smart Buildings and Smart Grids 1 Executive Summary Creative Commons BY 3.0 Unported license" class="work-thumbnail" src="https://attachments.academia-assets.com/97027539/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621356/Report_from_Dagstuhl_Seminar_15091_Smart_Buildings_and_Smart_Grids_1_Executive_Summary_Creative_Commons_BY_3_0_Unported_license">Report from Dagstuhl Seminar 15091 Smart Buildings and Smart Grids 1 Executive Summary Creative Commons BY 3.0 Unported license</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 &quot;Smart Buildings and Smart Grids&quot;, which took place from 22-27 February 2015 at Schloss Dagstuhl-Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22-27, 2015-<a href="http://www.dagstuhl.de/15091" rel="nofollow">http://www.dagstuhl.de/15091</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4aa6fd3cf5e222b6ac3f6ab47c379888" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027539,"asset_id":94621356,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027539/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621356"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621356"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621356; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621355"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621355/Strategies_for_an_Adaptive_Control_System_to_Improve_Power_Grid_Resilience_with_Smart_Buildings"><img alt="Research paper thumbnail of Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings" class="work-thumbnail" src="https://attachments.academia-assets.com/97027538/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621355/Strategies_for_an_Adaptive_Control_System_to_Improve_Power_Grid_Resilience_with_Smart_Buildings">Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings</a></div><div class="wp-workCard_item"><span>Energies</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Low-voltage distribution grids face new challenges through the expansion of decentralized, renewa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Low-voltage distribution grids face new challenges through the expansion of decentralized, renewable energy generation and the electrification of the heat and mobility sectors. We present a multi-agent system consisting of the energy management systems of smart buildings, a central grid controller, and the local controller of a transformer. It can coordinate the provision of ancillary services for the local grid in a centralized way, coordinated by the central controller, and in a decentralized way, where each building makes independent control decisions based on locally measurable data. The presented system and the different control strategies provide the foundation for a fully adaptive grid control system we plan to implement in the future, which does not only provide resilience against electricity outages but also against communication failures by appropriate switching of strategies. The decentralized strategy, meant to be used during communication failures, could also be used ex...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fdfd9717191ab03b460e3abadb7bf9e0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027538,"asset_id":94621355,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027538/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621355"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621355"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621355; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621354"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621354/State_of_the_art_user_interfaces_for_building_operating_systems"><img alt="Research paper thumbnail of State-of-the-art user interfaces for building operating systems" class="work-thumbnail" src="https://attachments.academia-assets.com/97027595/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621354/State_of_the_art_user_interfaces_for_building_operating_systems">State-of-the-art user interfaces for building operating systems</a></div><div class="wp-workCard_item"><span>2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC)</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Being equipped with an appropriate user interface, building operating systems are capable of prov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Being equipped with an appropriate user interface, building operating systems are capable of providing transparent information on energy consumption and generation in the household and achieving interaction with residents to implement energy management and optimization. In order to help provide a reference for the design of a more comprehensive user interface for building operating systems in the future, this paper reviews state-of-the-art user interfaces for various building operating systems and evaluates them from perspectives of a variety of use cases relating to smart buildings as well as different technical characteristics about successful user interfaces.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cbb3387b8527b7d36fbcbb06cb7af92" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027595,"asset_id":94621354,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027595/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621354"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621354"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621354; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621353"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621353/Organic_computing_a_new_vision_for_distributed_embedded_systems"><img alt="Research paper thumbnail of Organic computing - a new vision for distributed embedded systems" class="work-thumbnail" src="https://attachments.academia-assets.com/97027536/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621353/Organic_computing_a_new_vision_for_distributed_embedded_systems">Organic computing - a new vision for distributed embedded systems</a></div><div class="wp-workCard_item"><span>Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05)</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Organic Computing is becoming the new vision for the design of complex systems, satisfying human ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Organic Computing is becoming the new vision for the design of complex systems, satisfying human needs for trustworthy systems that behave lifelike by adapting autonomously to dynamic changes of the environment, and have self-x properties as postulated for Autonomic Computing. Organic Computing is a response to the threatening view of being surrounded by interacting and self-organizing systems which may become unmanageable, showing undesired emergent behavior. Major challenges for organic system design arise from the conflicting requirements to have systems that are at the same time robust and adaptive, having sufficient degrees of freedom for showing self-x properties but being open for human intervention and operating with respect to appropriate rules and constraints to prevent the occurrence of undesired emergent behavior.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9edc0749497575ba35cf39c5f35fcec5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027536,"asset_id":94621353,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027536/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621353"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621353"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621353; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621352"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621352/Organic_Computing_Controlled_Emergence_3_Designing_Emergence_with_Evolutionary_Algorithms"><img alt="Research paper thumbnail of Organic Computing-Controlled Emergence 3 Designing Emergence with Evolutionary Algorithms" class="work-thumbnail" src="https://attachments.academia-assets.com/97027534/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621352/Organic_Computing_Controlled_Emergence_3_Designing_Emergence_with_Evolutionary_Algorithms">Organic Computing-Controlled Emergence 3 Designing Emergence with Evolutionary Algorithms</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Organic Computing has emerged recently as a challenging vision for future information processing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Organic Computing has emerged recently as a challenging vision for future information processing systems, based on the insight that we will soon be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves in order to perform the actions and services required. Organic Computing Systems will adapt dynamically to the current conditions of its environment, they will be selforganizing, self-con guring, self-healing, self-protecting, self-explaining, and context-aware. From 15.01.06 to 20.01.06, the Dagstuhl Seminar 06031 Organic Computing Controlled Emergence was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. The seminar was characterized by the very constructive search for common ground between engineering and natural sciences, between informatics on the one hand and biology, neuroscience, and chemistry on the other. The common denomina...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6ad2e690bf5bd44bf56fd936957a0da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027534,"asset_id":94621352,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027534/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621352"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621352"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621352; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621351"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621351/166_15091_Smart_Buildings_and_Smart_Grids_5_9_Human_Machine_Interaction_in_Energy_Informatics"><img alt="Research paper thumbnail of 166 15091 – Smart Buildings and Smart Grids 5 . 9 Human Machine Interaction in Energy Informatics" class="work-thumbnail" src="https://attachments.academia-assets.com/97027533/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621351/166_15091_Smart_Buildings_and_Smart_Grids_5_9_Human_Machine_Interaction_in_Energy_Informatics">166 15091 – Smart Buildings and Smart Grids 5 . 9 Human Machine Interaction in Energy Informatics</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 “Smart Buildings and Smart Grids”, which took place from 22–27 February 2015 at Schloss Dagstuhl – Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22–27, 2015 – <a href="http://www.dagstuhl.de/15091" rel="nofollow">http://www.dagstuhl.de/15091</a> 1998 ACM Subject Classification D.0 [Software] Software, G.0 [Mathematics of Computi...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6d7c5b244a464be0683f4ef052a1b56a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027533,"asset_id":94621351,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027533/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621351"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621351; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621349"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621349/The_influence_of_differential_privacy_on_short_term_electric_load_forecasting"><img alt="Research paper thumbnail of The influence of differential privacy on short term electric load forecasting" class="work-thumbnail" src="https://attachments.academia-assets.com/97027594/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621349/The_influence_of_differential_privacy_on_short_term_electric_load_forecasting">The influence of differential privacy on short term electric load forecasting</a></div><div class="wp-workCard_item"><span>Energy Informatics</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There has been a large number of contributions on privacy-preserving smart metering with Differen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There has been a large number of contributions on privacy-preserving smart metering with Differential Privacy, addressing questions from actual enforcement at the smart meter to billing at the energy provider. However, exploitation is mostly limited to application of cryptographic security means between smart meters and energy providers. We illustrate along the use case of privacy preserving load forecasting that Differential Privacy is indeed a valuable addition that unlocks novel information flows for optimization. We show that (i) there are large differences in utility along three selected forecasting methods, (ii) energy providers can enjoy good utility especially under the linear regression benchmark model, and (iii) households can participate in privacy preserving load forecasting with an individual membership inference risk < 60%, only 10% over random guessing.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e636decab271e64951caebcf81c1f71" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027594,"asset_id":94621349,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027594/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621349"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621349"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621349; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621348"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621348/Parallelizing_multi_objective_evolutionary_algorithms_cone_separation"><img alt="Research paper thumbnail of Parallelizing multi-objective evolutionary algorithms: cone separation" class="work-thumbnail" src="https://attachments.academia-assets.com/97027597/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621348/Parallelizing_multi_objective_evolutionary_algorithms_cone_separation">Parallelizing multi-objective evolutionary algorithms: cone separation</a></div><div class="wp-workCard_item"><span>Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evolutionary multi-objective optimization (EMO) may be computatinally quite demanding, because in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Evolutionary multi-objective optimization (EMO) may be computatinally quite demanding, because instead of searching for a single optimum, one generally wishes to find the whole front of Pareto-optimal solutions. For that reason, parallelizing EMO is an important issue. Since we are looking for a number of Pareto-optimal solutions with different tradeoffs between the objectives, it seems natural to assign different parts of the search space to different processors. In this paper, we propose the idea of cone separation which is used to divide up the search space by adding explicit constraints for each process. We show that the approach is more efficient than simple parallelization schemes, and that it also works on problems with a non-convex Pareto-optimal front.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e37e393d6bd46f427d31d8903adeb76b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027597,"asset_id":94621348,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027597/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621348"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621348"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621348; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621347"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621347/Information_Exchange_in_Multi_Colony_Ant_Algorithms"><img alt="Research paper thumbnail of Information Exchange in Multi Colony Ant Algorithms" class="work-thumbnail" src="https://attachments.academia-assets.com/97027596/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621347/Information_Exchange_in_Multi_Colony_Ant_Algorithms">Information Exchange in Multi Colony Ant Algorithms</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multi colony a n t algorithms are evolutionary optimization heuristics that are well suited for p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multi colony a n t algorithms are evolutionary optimization heuristics that are well suited for parallel execution. Information exchange between the colonies is an important topic that not only in uences the parallel execution time but also the optimization behaviour. In this paper di erent kinds of information exchange strategies in multi colony a n t algorithms are investigated. It is shown that the exchange of only a small amount of information can be advantageous not only for a short running time but also to obtain solutions of high quality. This allows the colonies to pro t from the good solutions found by other colonies and also to search in di erent regions of the search space by using di erent pheromone matrices.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c90fd8da1a9f31903dc3624cc167b57b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027596,"asset_id":94621347,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027596/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621347"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621347"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621347; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621346"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621346/Introducing_the_Simulation_Plugin_Interface_and_the_EAS_Framework_with_comparison_to_two_state_of_the_art_agent_simulation_frameworks"><img alt="Research paper thumbnail of Introducing the Simulation Plugin Interface and the EAS Framework with comparison to two state-of-the-art agent simulation frameworks" class="work-thumbnail" src="https://attachments.academia-assets.com/97027589/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621346/Introducing_the_Simulation_Plugin_Interface_and_the_EAS_Framework_with_comparison_to_two_state_of_the_art_agent_simulation_frameworks">Introducing the Simulation Plugin Interface and the EAS Framework with comparison to two state-of-the-art agent simulation frameworks</a></div><div class="wp-workCard_item"><span>Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper proposes a novel architectural concept for developing agent-based simulations called S...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper proposes a novel architectural concept for developing agent-based simulations called Simulation Plugin Interface (SPI); furthermore, a simulation framework called Easy Agent Simulation (EAS) based on the proposed architecture is presented. The SPI introduces an intermediate layer between the simulation engine and the simulation model. It contains all types of functionality which are required for a simulation but are logically separable from the simulation model. This includes visualization, probes, statistics calculations, logging, scheduling, API to other programming languages, etc. The architecture is particularly suitable to guide student programmers with low experience to well-structured and reusable simulation components. The SPI architecture is not bound to the EAS Framework, but can be implemented as an extension to most state-of-the-art simulation frameworks. In a comparative study, the EAS framework is compared to the agent simulation frameworks NetLogo and MASON, using the well-known "Stupid Model" as a test scenario. 1 INTRODUCTION The growth of the field of agent-based simulation (ABS) since the early 1990s opened a new chapter to academic research in many domains. It has been established in computer science, natural science, social science, education, networking, artificial intelligence, urban simulation, and many more. (Siebers and Aickelin 2008) In the last two decades various ABS platforms have been developed, more or less loosely connected to the domains they have been developed for; this includes (but is not limited to) MAML for social sciences, NetLogo, StarLogo and recently ReLogo for education, Jade, NeSSi and OMNET++ for networking, Breve and Repast for artificial intelligence, MatLab, and OpenStarLogo for natural science, and Aimsun and OBEUS for urban / traffic simulation. There also exist many general-purpose ABS frameworks of different powerfulness and scope, such as Anylogic, Ascape, DeX, EcoLab, Madkit, Magsy, Mason, NetLogo, ReLogo, Repast, Swarm, SOAR, etc. These lists are far from being complete; a more comprehensive list is given by (Nikolai and Madey 2009). One issue particularly important for rather big research projects is the development of structured and reusable code. Structured code can be the foundation of an error-free implementation, especially if unskilled programmers are involved. This is, for example, frequently the case in academic research where students are involved within the scope of a thesis or a laboratory course, but also in other projects including people without a software engineering background. While there exist popular easy-to-learn ABS toolkits like MASON or NetLogo, their architectures do not guide unskilled users actively to a well-structured code, but leave it to their own competency. This can lead to code that is hard to reuse, and understand, and, in turn, to potentially erroneous implementations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bdf54a9f0b74af75b887fcd54510d891" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027589,"asset_id":94621346,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027589/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621346"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621346"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621346; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621345"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621345/Evolving_Collision_Avoidance_on_Autonomous_Robots"><img alt="Research paper thumbnail of Evolving Collision Avoidance on Autonomous Robots" class="work-thumbnail" src="https://attachments.academia-assets.com/97027587/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621345/Evolving_Collision_Avoidance_on_Autonomous_Robots">Evolving Collision Avoidance on Autonomous Robots</a></div><div class="wp-workCard_item"><span>IFIP – The International Federation for Information Processing</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Utilizing the collective behavior of a population of interacting individuals, based on rather sim...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Utilizing the collective behavior of a population of interacting individuals, based on rather simple local algorithms, is a promising approach for achieving complex goals. We use an onboard online evolutionary model, based on finite Moore automata, to develop collective behavior in an artificial swarm of micro-robots. Experiments have been made in simulation to achieve Collision Avoidance. The model is shown to be capable to generate the desired behavior and we present experiments for adjusting the parameters of the evolutionary optimization.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cb4cb03112925cd2a4fe734f9c2a710" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027587,"asset_id":94621345,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027587/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621345"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621345"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621345; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621344"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621344/Dynamic_scheduling_of_tasks_on_partially_reconfigurable_FPGAs"><img alt="Research paper thumbnail of Dynamic scheduling of tasks on partially reconfigurable FPGAs" class="work-thumbnail" src="https://attachments.academia-assets.com/97027591/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621344/Dynamic_scheduling_of_tasks_on_partially_reconfigurable_FPGAs">Dynamic scheduling of tasks on partially reconfigurable FPGAs</a></div><div class="wp-workCard_item"><span>Iee Proceedings-Computers and Digital Techniques</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Field{Programmable Gate Arrays (FPGAs) that allow partial recon guration at run{time can be share...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Field{Programmable Gate Arrays (FPGAs) that allow partial recon guration at run{time can be shared among multiple independent tasks. When the sequence of tasks to be performed is unpredictable the FPGA controller needs to make allocation decisions on{line. Since on{line allocation su ers from fragmentation, tasks can end up waiting despite there being su cient, albeit non{contiguous resources available to service them. The time to complete tasks is consequently longer and the utilization of the FPGA is lower than it could be. We propose rearranging a subset of the tasks executing on the FPGA when doing so allows the next pending task to be processed sooner. We describe and evaluate methods for overcoming the NP{hard problems of identifying feasible rearrangements and scheduling the rearrangements when moving tasks are reloaded from o {chip.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bfcc4beca0f87c593e8c8077d1259577" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027591,"asset_id":94621344,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027591/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621344"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621344"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621344; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621343"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621343/Special_Issue_on_Organic_Computing"><img alt="Research paper thumbnail of Special Issue on Organic Computing" class="work-thumbnail" src="https://attachments.academia-assets.com/97027588/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621343/Special_Issue_on_Organic_Computing">Special Issue on Organic Computing</a></div><div class="wp-workCard_item"><span>Acm Transactions on Autonomous and Adaptive Systems</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac131a8a2d2b0e455f791eaf0903ba66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027588,"asset_id":94621343,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027588/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621343"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621343"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621343; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621342"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621342/Decentralized_evolution_of_robotic_behavior_using_finite_state_machines"><img alt="Research paper thumbnail of Decentralized evolution of robotic behavior using finite state machines" class="work-thumbnail" src="https://attachments.academia-assets.com/97027590/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621342/Decentralized_evolution_of_robotic_behavior_using_finite_state_machines">Decentralized evolution of robotic behavior using finite state machines</a></div><div class="wp-workCard_item"><span>International Journal of Intelligent Computing and Cybernetics</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental proc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.Design/methodology/approachA new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.FindingsThe framework is capable of robustly evolv...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a735d02aeab491c9acd81c8d2df59f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027590,"asset_id":94621342,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027590/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621342"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621342"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621342; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621341"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621341/Multi_objective_particle_swarm_optimization_on_computer_grids"><img alt="Research paper thumbnail of Multi-objective particle swarm optimization on computer grids" class="work-thumbnail" src="https://attachments.academia-assets.com/97027592/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621341/Multi_objective_particle_swarm_optimization_on_computer_grids">Multi-objective particle swarm optimization on computer grids</a></div><div class="wp-workCard_item"><span>Proceedings of the 9th annual conference on Genetic and evolutionary computation</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent years, a number of authors have successfully extended particle swarm optimization to pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of parallelizing multi-objective particle swarms. We propose and empirically compare two parallel versions which differ in the way they divide the swarm into subswarms that can be processed independently on different processors. One of the variants works asynchronously and is thus particularly suitable for heterogeneous computer clusters as occurring e.g. in modern grid computing platforms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="38c52717a5fa6c68b803b1fb53e18bd4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027592,"asset_id":94621341,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027592/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621341"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621341"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621341; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "38c52717a5fa6c68b803b1fb53e18bd4" } } $('.js-work-strip[data-work-id=94621341]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94621341,"title":"Multi-objective particle swarm optimization on computer grids","internal_url":"https://www.academia.edu/94621341/Multi_objective_particle_swarm_optimization_on_computer_grids","owner_id":25349076,"coauthors_can_edit":true,"owner":{"id":25349076,"first_name":"Hartmut","middle_initials":null,"last_name":"Schmeck","page_name":"HartmutSchmeck","domain_name":"kit","created_at":"2015-01-26T05:45:03.849-08:00","display_name":"Hartmut Schmeck","url":"https://kit.academia.edu/HartmutSchmeck"},"attachments":[{"id":97027592,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97027592/thumbnails/1.jpg","file_name":"p869.pdf","download_url":"https://www.academia.edu/attachments/97027592/download_file","bulk_download_file_name":"Multi_objective_particle_swarm_optimizat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97027592/p869-libre.pdf?1673263516=\u0026response-content-disposition=attachment%3B+filename%3DMulti_objective_particle_swarm_optimizat.pdf\u0026Expires=1739918312\u0026Signature=CZlTdXzh7oXMZ-QUbVnPG58mZHgsqq3GHaTy1eEFWQT0avoQnm3IAQQiJ4lCqwMrWLNknmJDxvmib4Q-N6C5cCJK1c8wUCIHClSu0kc~0kJv5gH~eO7Sk440ATMtqVz36bwCx6VZ5mvS77oURGz7sdWBF8lSRLZykusCP4h9Jn3Zc0Do6EbnT1CX99fwEAZ2PY8JTq1wCpMu~3oR9TNY4deKQTglPiIvaJBqQcp0xa9HSdkdXIAbgsi-usx~q8snedTvlVX~yaygZB9DGxcPWZuaT6w1mbKmNW-f4HSQxE01i6QWL25cdKCZa6mwFAuEWfee0ERGNEtY7eN0IKj9cQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621340"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling"><img alt="Research paper thumbnail of Ant colony optimization for resource-constrained project scheduling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling">Ant colony optimization for resource-constrained project scheduling</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Evolutionary Computation</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621340"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621340"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621340; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94621340]").text(description); $(".js-view-count[data-work-id=94621340]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94621340; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94621340']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=94621340]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94621340,"title":"Ant colony optimization for resource-constrained project scheduling","internal_url":"https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling","owner_id":25349076,"coauthors_can_edit":true,"owner":{"id":25349076,"first_name":"Hartmut","middle_initials":null,"last_name":"Schmeck","page_name":"HartmutSchmeck","domain_name":"kit","created_at":"2015-01-26T05:45:03.849-08:00","display_name":"Hartmut Schmeck","url":"https://kit.academia.edu/HartmutSchmeck"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621339"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621339/Portfolio_optimization_with_an_envelope_based_multi_objective_evolutionary_algorithm"><img alt="Research paper thumbnail of Portfolio optimization with an envelope-based multi-objective evolutionary algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/97027593/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621339/Portfolio_optimization_with_an_envelope_based_multi_objective_evolutionary_algorithm">Portfolio optimization with an envelope-based multi-objective evolutionary algorithm</a></div><div class="wp-workCard_item"><span>European Journal of Operational Research</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The problem of portfolio selection is a standard problem in financial engineering and has receive...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The problem of portfolio selection is a standard problem in financial engineering and has received a lot of attention in recent decades. Classical mean-variance portfolio selection aims at simultaneously maximizing the expected return of the portfolio and minimizing portfolio variance. In the case of linear constraints, the problem can be solved efficiently by parametric quadratic programming (i.e., variants of Markowitz' critical line algorithm). However, there are many real-world constraints that lead to a nonconvex search space, e.g., cardinality constraints which limit the number of different assets in a portfolio, or minimum buy-in thresholds. As a consequence, the efficient approaches for the convex problem can no longer be applied, and new solutions are needed. In this paper, we propose to integrate an active set algorithm optimized for portfolio selection into a multi-objective evolutionary algorithm (MOEA). The idea is to let the MOEA come up with some convex subsets of the set of all feasible portfolios, solve a critical line algorithm for each subset, and then merge the partial solutions to form the solution of the original non-convex problem. We show that the resulting envelope-based MOEA significantly outperforms existing MOEAs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a9c09d3b47991e3f8ede4d18de37db7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027593,"asset_id":94621339,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027593/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621339"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621339"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621339; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621112"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621112/Organic_Computing_Addressing_Complexity_by_Controlled_Self_Organization"><img alt="Research paper thumbnail of Organic Computing Addressing Complexity by Controlled Self-Organization" class="work-thumbnail" src="https://attachments.academia-assets.com/97027394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621112/Organic_Computing_Addressing_Complexity_by_Controlled_Self_Organization">Organic Computing Addressing Complexity by Controlled Self-Organization</a></div><div class="wp-workCard_item"><span>Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006)</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the past, the focus of the computer industry has been to improve hardware performance and add ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the past, the focus of the computer industry has been to improve hardware performance and add more and more features to the software. As a result, more and more appliances surrounding us are equipped with embedded computational power and wireless communication. As such, they become ever more flexible and multifunctional, and almost indispensable in daily life. On the other hand, the resulting systems become increasingly complex and unreliable, posing new challenges to designer and user. Organic Computing (OC) has the vision to address the challenges of complex distributed systems by making them more lifelike (organic), i.e. endowing them with abilities such as selforganization, self-configuration, self-repair, or adaptation. The designer's task is simplified, because it is no longer necessary to exactly specify the low-level system behavior in all possible situations that might occur, but instead leaving the system with a certain degree of freedom which allows it to react in an intelligent way to new situations. Also, use of such systems is simplified, as they can be controlled by setting few high-level goals, rather than having to manipulate many low-level parameters with unclear influence. In this paper, we give a general introduction to OC, and propose a generic observer-controller architecture as a framework for designing OC systems. Then, it is shown how to use this architecture at the example of a traffic light controller. The paper concludes with a summary and a discussion of future challenges.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1ee3615c4172fafa32a2d731d61c5c3e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027394,"asset_id":94621112,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027394/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621112"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621112"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621112; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="2467404" id="papers"><div class="js-work-strip profile--work_container" data-work-id="94621358"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621358/Automated_generation_of_models_for_demand_side_flexibility_using_machine_learning_an_overview"><img alt="Research paper thumbnail of Automated generation of models for demand side flexibility using machine learning – an overview" class="work-thumbnail" src="https://attachments.academia-assets.com/97027541/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621358/Automated_generation_of_models_for_demand_side_flexibility_using_machine_learning_an_overview">Automated generation of models for demand side flexibility using machine learning – an overview</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flexibility in consumption and production provided by distributed energy resources (DERs) is a ke...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Flexibility in consumption and production provided by distributed energy resources (DERs) is a key to the integration of renewable energy sources into the energy system. However, even for identical DERs, the flexibility can vary widely, based on local constraints and circumstances. Therefore, handcrafting models can be labor-intensive and automating the generation of models could help increasing the volume of controllable flexibility in smart grids. Depending on the underlying mechanism for controlling demand side flexibility, there are various ways how an automation can be achieved. In this paper, we discuss fundamental concepts relevant to the automated generation of models for demand side flexibility, give an overview of different approaches, and point out fundamental differences. The main focus lies on model generation by means of machine learning techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07261146030666a37b6513a6d02c4df4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027541,"asset_id":94621358,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027541/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621358"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621358"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621358; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621357"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621357/08141_Abstracts_Collection_Organic_Computing_Controlled_Self_organization"><img alt="Research paper thumbnail of 08141 Abstracts Collection – Organic Computing - Controlled Self-organization" class="work-thumbnail" src="https://attachments.academia-assets.com/97027601/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621357/08141_Abstracts_Collection_Organic_Computing_Controlled_Self_organization">08141 Abstracts Collection – Organic Computing - Controlled Self-organization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 &quot;Organic Computing - Controlle...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 &quot;Organic Computing - Controlled Self-organization&quot;&#39; was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a96096531381b4e4b41d28e212ca27b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027601,"asset_id":94621357,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027601/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621357"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621357"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621357; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621356"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621356/Report_from_Dagstuhl_Seminar_15091_Smart_Buildings_and_Smart_Grids_1_Executive_Summary_Creative_Commons_BY_3_0_Unported_license"><img alt="Research paper thumbnail of Report from Dagstuhl Seminar 15091 Smart Buildings and Smart Grids 1 Executive Summary Creative Commons BY 3.0 Unported license" class="work-thumbnail" src="https://attachments.academia-assets.com/97027539/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621356/Report_from_Dagstuhl_Seminar_15091_Smart_Buildings_and_Smart_Grids_1_Executive_Summary_Creative_Commons_BY_3_0_Unported_license">Report from Dagstuhl Seminar 15091 Smart Buildings and Smart Grids 1 Executive Summary Creative Commons BY 3.0 Unported license</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 &quot;Smart Buildings and Smart Grids&quot;, which took place from 22-27 February 2015 at Schloss Dagstuhl-Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22-27, 2015-<a href="http://www.dagstuhl.de/15091" rel="nofollow">http://www.dagstuhl.de/15091</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4aa6fd3cf5e222b6ac3f6ab47c379888" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027539,"asset_id":94621356,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027539/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621356"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621356"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621356; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621355"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621355/Strategies_for_an_Adaptive_Control_System_to_Improve_Power_Grid_Resilience_with_Smart_Buildings"><img alt="Research paper thumbnail of Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings" class="work-thumbnail" src="https://attachments.academia-assets.com/97027538/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621355/Strategies_for_an_Adaptive_Control_System_to_Improve_Power_Grid_Resilience_with_Smart_Buildings">Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings</a></div><div class="wp-workCard_item"><span>Energies</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Low-voltage distribution grids face new challenges through the expansion of decentralized, renewa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Low-voltage distribution grids face new challenges through the expansion of decentralized, renewable energy generation and the electrification of the heat and mobility sectors. We present a multi-agent system consisting of the energy management systems of smart buildings, a central grid controller, and the local controller of a transformer. It can coordinate the provision of ancillary services for the local grid in a centralized way, coordinated by the central controller, and in a decentralized way, where each building makes independent control decisions based on locally measurable data. The presented system and the different control strategies provide the foundation for a fully adaptive grid control system we plan to implement in the future, which does not only provide resilience against electricity outages but also against communication failures by appropriate switching of strategies. The decentralized strategy, meant to be used during communication failures, could also be used ex...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fdfd9717191ab03b460e3abadb7bf9e0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027538,"asset_id":94621355,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027538/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621355"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621355"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621355; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621354"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621354/State_of_the_art_user_interfaces_for_building_operating_systems"><img alt="Research paper thumbnail of State-of-the-art user interfaces for building operating systems" class="work-thumbnail" src="https://attachments.academia-assets.com/97027595/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621354/State_of_the_art_user_interfaces_for_building_operating_systems">State-of-the-art user interfaces for building operating systems</a></div><div class="wp-workCard_item"><span>2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC)</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Being equipped with an appropriate user interface, building operating systems are capable of prov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Being equipped with an appropriate user interface, building operating systems are capable of providing transparent information on energy consumption and generation in the household and achieving interaction with residents to implement energy management and optimization. In order to help provide a reference for the design of a more comprehensive user interface for building operating systems in the future, this paper reviews state-of-the-art user interfaces for various building operating systems and evaluates them from perspectives of a variety of use cases relating to smart buildings as well as different technical characteristics about successful user interfaces.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cbb3387b8527b7d36fbcbb06cb7af92" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027595,"asset_id":94621354,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027595/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621354"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621354"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621354; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621353"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621353/Organic_computing_a_new_vision_for_distributed_embedded_systems"><img alt="Research paper thumbnail of Organic computing - a new vision for distributed embedded systems" class="work-thumbnail" src="https://attachments.academia-assets.com/97027536/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621353/Organic_computing_a_new_vision_for_distributed_embedded_systems">Organic computing - a new vision for distributed embedded systems</a></div><div class="wp-workCard_item"><span>Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05)</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Organic Computing is becoming the new vision for the design of complex systems, satisfying human ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Organic Computing is becoming the new vision for the design of complex systems, satisfying human needs for trustworthy systems that behave lifelike by adapting autonomously to dynamic changes of the environment, and have self-x properties as postulated for Autonomic Computing. Organic Computing is a response to the threatening view of being surrounded by interacting and self-organizing systems which may become unmanageable, showing undesired emergent behavior. Major challenges for organic system design arise from the conflicting requirements to have systems that are at the same time robust and adaptive, having sufficient degrees of freedom for showing self-x properties but being open for human intervention and operating with respect to appropriate rules and constraints to prevent the occurrence of undesired emergent behavior.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9edc0749497575ba35cf39c5f35fcec5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027536,"asset_id":94621353,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027536/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621353"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621353"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621353; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621352"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621352/Organic_Computing_Controlled_Emergence_3_Designing_Emergence_with_Evolutionary_Algorithms"><img alt="Research paper thumbnail of Organic Computing-Controlled Emergence 3 Designing Emergence with Evolutionary Algorithms" class="work-thumbnail" src="https://attachments.academia-assets.com/97027534/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621352/Organic_Computing_Controlled_Emergence_3_Designing_Emergence_with_Evolutionary_Algorithms">Organic Computing-Controlled Emergence 3 Designing Emergence with Evolutionary Algorithms</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Organic Computing has emerged recently as a challenging vision for future information processing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Organic Computing has emerged recently as a challenging vision for future information processing systems, based on the insight that we will soon be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves in order to perform the actions and services required. Organic Computing Systems will adapt dynamically to the current conditions of its environment, they will be selforganizing, self-con guring, self-healing, self-protecting, self-explaining, and context-aware. From 15.01.06 to 20.01.06, the Dagstuhl Seminar 06031 Organic Computing Controlled Emergence was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. The seminar was characterized by the very constructive search for common ground between engineering and natural sciences, between informatics on the one hand and biology, neuroscience, and chemistry on the other. The common denomina...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6ad2e690bf5bd44bf56fd936957a0da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027534,"asset_id":94621352,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027534/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621352"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621352"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621352; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621351"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621351/166_15091_Smart_Buildings_and_Smart_Grids_5_9_Human_Machine_Interaction_in_Energy_Informatics"><img alt="Research paper thumbnail of 166 15091 – Smart Buildings and Smart Grids 5 . 9 Human Machine Interaction in Energy Informatics" class="work-thumbnail" src="https://attachments.academia-assets.com/97027533/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621351/166_15091_Smart_Buildings_and_Smart_Grids_5_9_Human_Machine_Interaction_in_Energy_Informatics">166 15091 – Smart Buildings and Smart Grids 5 . 9 Human Machine Interaction in Energy Informatics</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 “Smart Buildings and Smart Grids”, which took place from 22–27 February 2015 at Schloss Dagstuhl – Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22–27, 2015 – <a href="http://www.dagstuhl.de/15091" rel="nofollow">http://www.dagstuhl.de/15091</a> 1998 ACM Subject Classification D.0 [Software] Software, G.0 [Mathematics of Computi...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6d7c5b244a464be0683f4ef052a1b56a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027533,"asset_id":94621351,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027533/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621351"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621351"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621351; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621349"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621349/The_influence_of_differential_privacy_on_short_term_electric_load_forecasting"><img alt="Research paper thumbnail of The influence of differential privacy on short term electric load forecasting" class="work-thumbnail" src="https://attachments.academia-assets.com/97027594/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621349/The_influence_of_differential_privacy_on_short_term_electric_load_forecasting">The influence of differential privacy on short term electric load forecasting</a></div><div class="wp-workCard_item"><span>Energy Informatics</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">There has been a large number of contributions on privacy-preserving smart metering with Differen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">There has been a large number of contributions on privacy-preserving smart metering with Differential Privacy, addressing questions from actual enforcement at the smart meter to billing at the energy provider. However, exploitation is mostly limited to application of cryptographic security means between smart meters and energy providers. We illustrate along the use case of privacy preserving load forecasting that Differential Privacy is indeed a valuable addition that unlocks novel information flows for optimization. We show that (i) there are large differences in utility along three selected forecasting methods, (ii) energy providers can enjoy good utility especially under the linear regression benchmark model, and (iii) households can participate in privacy preserving load forecasting with an individual membership inference risk < 60%, only 10% over random guessing.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e636decab271e64951caebcf81c1f71" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027594,"asset_id":94621349,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027594/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621349"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621349"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621349; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621348"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621348/Parallelizing_multi_objective_evolutionary_algorithms_cone_separation"><img alt="Research paper thumbnail of Parallelizing multi-objective evolutionary algorithms: cone separation" class="work-thumbnail" src="https://attachments.academia-assets.com/97027597/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621348/Parallelizing_multi_objective_evolutionary_algorithms_cone_separation">Parallelizing multi-objective evolutionary algorithms: cone separation</a></div><div class="wp-workCard_item"><span>Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evolutionary multi-objective optimization (EMO) may be computatinally quite demanding, because in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Evolutionary multi-objective optimization (EMO) may be computatinally quite demanding, because instead of searching for a single optimum, one generally wishes to find the whole front of Pareto-optimal solutions. For that reason, parallelizing EMO is an important issue. Since we are looking for a number of Pareto-optimal solutions with different tradeoffs between the objectives, it seems natural to assign different parts of the search space to different processors. In this paper, we propose the idea of cone separation which is used to divide up the search space by adding explicit constraints for each process. We show that the approach is more efficient than simple parallelization schemes, and that it also works on problems with a non-convex Pareto-optimal front.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e37e393d6bd46f427d31d8903adeb76b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027597,"asset_id":94621348,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027597/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621348"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621348"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621348; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e37e393d6bd46f427d31d8903adeb76b" } } $('.js-work-strip[data-work-id=94621348]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94621348,"title":"Parallelizing multi-objective evolutionary algorithms: cone separation","internal_url":"https://www.academia.edu/94621348/Parallelizing_multi_objective_evolutionary_algorithms_cone_separation","owner_id":25349076,"coauthors_can_edit":true,"owner":{"id":25349076,"first_name":"Hartmut","middle_initials":null,"last_name":"Schmeck","page_name":"HartmutSchmeck","domain_name":"kit","created_at":"2015-01-26T05:45:03.849-08:00","display_name":"Hartmut Schmeck","url":"https://kit.academia.edu/HartmutSchmeck"},"attachments":[{"id":97027597,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97027597/thumbnails/1.jpg","file_name":"k2004017.pdf","download_url":"https://www.academia.edu/attachments/97027597/download_file","bulk_download_file_name":"Parallelizing_multi_objective_evolutiona.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97027597/k2004017-libre.pdf?1673263509=\u0026response-content-disposition=attachment%3B+filename%3DParallelizing_multi_objective_evolutiona.pdf\u0026Expires=1739918312\u0026Signature=fGn~rNXhCeFHicMAYsa4kCvTVaZxD01DHV3h4K8AKPtO8YRHgxKKF~B-~BNp3CU8t0W7H1-T2UJsR-~6QNIx8noJa~6QIFURD3YwhwuOPxeBO2Ug1IrcjV57AXBJi6DNTHlxcLTyr7nMoV9c5QNl2CsfWU9If2mRtgkG0aeQhulq68kxRPWXymfitn8YGe4efu299xsffiXjTVU8HCyWGU5GgqPNUyhuJBrkmqXdimePgGmXTD0Z1BlkT2~IPcEkKEe9S9dejD0P3-T8DRs3JBt-AX0~6fp-GzEgHNLLtHFDBGv5D12LSMlErW-bXDwo-I5wifQO2g~zP5CQetW0NQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621347"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621347/Information_Exchange_in_Multi_Colony_Ant_Algorithms"><img alt="Research paper thumbnail of Information Exchange in Multi Colony Ant Algorithms" class="work-thumbnail" src="https://attachments.academia-assets.com/97027596/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621347/Information_Exchange_in_Multi_Colony_Ant_Algorithms">Information Exchange in Multi Colony Ant Algorithms</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Multi colony a n t algorithms are evolutionary optimization heuristics that are well suited for p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Multi colony a n t algorithms are evolutionary optimization heuristics that are well suited for parallel execution. Information exchange between the colonies is an important topic that not only in uences the parallel execution time but also the optimization behaviour. In this paper di erent kinds of information exchange strategies in multi colony a n t algorithms are investigated. It is shown that the exchange of only a small amount of information can be advantageous not only for a short running time but also to obtain solutions of high quality. This allows the colonies to pro t from the good solutions found by other colonies and also to search in di erent regions of the search space by using di erent pheromone matrices.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c90fd8da1a9f31903dc3624cc167b57b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027596,"asset_id":94621347,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027596/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621347"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621347"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621347; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621346"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621346/Introducing_the_Simulation_Plugin_Interface_and_the_EAS_Framework_with_comparison_to_two_state_of_the_art_agent_simulation_frameworks"><img alt="Research paper thumbnail of Introducing the Simulation Plugin Interface and the EAS Framework with comparison to two state-of-the-art agent simulation frameworks" class="work-thumbnail" src="https://attachments.academia-assets.com/97027589/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621346/Introducing_the_Simulation_Plugin_Interface_and_the_EAS_Framework_with_comparison_to_two_state_of_the_art_agent_simulation_frameworks">Introducing the Simulation Plugin Interface and the EAS Framework with comparison to two state-of-the-art agent simulation frameworks</a></div><div class="wp-workCard_item"><span>Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper proposes a novel architectural concept for developing agent-based simulations called S...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper proposes a novel architectural concept for developing agent-based simulations called Simulation Plugin Interface (SPI); furthermore, a simulation framework called Easy Agent Simulation (EAS) based on the proposed architecture is presented. The SPI introduces an intermediate layer between the simulation engine and the simulation model. It contains all types of functionality which are required for a simulation but are logically separable from the simulation model. This includes visualization, probes, statistics calculations, logging, scheduling, API to other programming languages, etc. The architecture is particularly suitable to guide student programmers with low experience to well-structured and reusable simulation components. The SPI architecture is not bound to the EAS Framework, but can be implemented as an extension to most state-of-the-art simulation frameworks. In a comparative study, the EAS framework is compared to the agent simulation frameworks NetLogo and MASON, using the well-known "Stupid Model" as a test scenario. 1 INTRODUCTION The growth of the field of agent-based simulation (ABS) since the early 1990s opened a new chapter to academic research in many domains. It has been established in computer science, natural science, social science, education, networking, artificial intelligence, urban simulation, and many more. (Siebers and Aickelin 2008) In the last two decades various ABS platforms have been developed, more or less loosely connected to the domains they have been developed for; this includes (but is not limited to) MAML for social sciences, NetLogo, StarLogo and recently ReLogo for education, Jade, NeSSi and OMNET++ for networking, Breve and Repast for artificial intelligence, MatLab, and OpenStarLogo for natural science, and Aimsun and OBEUS for urban / traffic simulation. There also exist many general-purpose ABS frameworks of different powerfulness and scope, such as Anylogic, Ascape, DeX, EcoLab, Madkit, Magsy, Mason, NetLogo, ReLogo, Repast, Swarm, SOAR, etc. These lists are far from being complete; a more comprehensive list is given by (Nikolai and Madey 2009). One issue particularly important for rather big research projects is the development of structured and reusable code. Structured code can be the foundation of an error-free implementation, especially if unskilled programmers are involved. This is, for example, frequently the case in academic research where students are involved within the scope of a thesis or a laboratory course, but also in other projects including people without a software engineering background. While there exist popular easy-to-learn ABS toolkits like MASON or NetLogo, their architectures do not guide unskilled users actively to a well-structured code, but leave it to their own competency. This can lead to code that is hard to reuse, and understand, and, in turn, to potentially erroneous implementations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bdf54a9f0b74af75b887fcd54510d891" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027589,"asset_id":94621346,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027589/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621346"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621346"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621346; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621345"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621345/Evolving_Collision_Avoidance_on_Autonomous_Robots"><img alt="Research paper thumbnail of Evolving Collision Avoidance on Autonomous Robots" class="work-thumbnail" src="https://attachments.academia-assets.com/97027587/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621345/Evolving_Collision_Avoidance_on_Autonomous_Robots">Evolving Collision Avoidance on Autonomous Robots</a></div><div class="wp-workCard_item"><span>IFIP – The International Federation for Information Processing</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Utilizing the collective behavior of a population of interacting individuals, based on rather sim...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Utilizing the collective behavior of a population of interacting individuals, based on rather simple local algorithms, is a promising approach for achieving complex goals. We use an onboard online evolutionary model, based on finite Moore automata, to develop collective behavior in an artificial swarm of micro-robots. Experiments have been made in simulation to achieve Collision Avoidance. The model is shown to be capable to generate the desired behavior and we present experiments for adjusting the parameters of the evolutionary optimization.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cb4cb03112925cd2a4fe734f9c2a710" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027587,"asset_id":94621345,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027587/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621345"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621345"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621345; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621344"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621344/Dynamic_scheduling_of_tasks_on_partially_reconfigurable_FPGAs"><img alt="Research paper thumbnail of Dynamic scheduling of tasks on partially reconfigurable FPGAs" class="work-thumbnail" src="https://attachments.academia-assets.com/97027591/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621344/Dynamic_scheduling_of_tasks_on_partially_reconfigurable_FPGAs">Dynamic scheduling of tasks on partially reconfigurable FPGAs</a></div><div class="wp-workCard_item"><span>Iee Proceedings-Computers and Digital Techniques</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Field{Programmable Gate Arrays (FPGAs) that allow partial recon guration at run{time can be share...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Field{Programmable Gate Arrays (FPGAs) that allow partial recon guration at run{time can be shared among multiple independent tasks. When the sequence of tasks to be performed is unpredictable the FPGA controller needs to make allocation decisions on{line. Since on{line allocation su ers from fragmentation, tasks can end up waiting despite there being su cient, albeit non{contiguous resources available to service them. The time to complete tasks is consequently longer and the utilization of the FPGA is lower than it could be. We propose rearranging a subset of the tasks executing on the FPGA when doing so allows the next pending task to be processed sooner. We describe and evaluate methods for overcoming the NP{hard problems of identifying feasible rearrangements and scheduling the rearrangements when moving tasks are reloaded from o {chip.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bfcc4beca0f87c593e8c8077d1259577" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027591,"asset_id":94621344,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027591/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621344"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621344"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621344; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621343"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621343/Special_Issue_on_Organic_Computing"><img alt="Research paper thumbnail of Special Issue on Organic Computing" class="work-thumbnail" src="https://attachments.academia-assets.com/97027588/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621343/Special_Issue_on_Organic_Computing">Special Issue on Organic Computing</a></div><div class="wp-workCard_item"><span>Acm Transactions on Autonomous and Adaptive Systems</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac131a8a2d2b0e455f791eaf0903ba66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027588,"asset_id":94621343,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027588/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621343"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621343"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621343; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94621343]").text(description); $(".js-view-count[data-work-id=94621343]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94621343; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94621343']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621342"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621342/Decentralized_evolution_of_robotic_behavior_using_finite_state_machines"><img alt="Research paper thumbnail of Decentralized evolution of robotic behavior using finite state machines" class="work-thumbnail" src="https://attachments.academia-assets.com/97027590/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621342/Decentralized_evolution_of_robotic_behavior_using_finite_state_machines">Decentralized evolution of robotic behavior using finite state machines</a></div><div class="wp-workCard_item"><span>International Journal of Intelligent Computing and Cybernetics</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental proc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.Design/methodology/approachA new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.FindingsThe framework is capable of robustly evolv...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a735d02aeab491c9acd81c8d2df59f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027590,"asset_id":94621342,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027590/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621342"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621342"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621342; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621341"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621341/Multi_objective_particle_swarm_optimization_on_computer_grids"><img alt="Research paper thumbnail of Multi-objective particle swarm optimization on computer grids" class="work-thumbnail" src="https://attachments.academia-assets.com/97027592/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621341/Multi_objective_particle_swarm_optimization_on_computer_grids">Multi-objective particle swarm optimization on computer grids</a></div><div class="wp-workCard_item"><span>Proceedings of the 9th annual conference on Genetic and evolutionary computation</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent years, a number of authors have successfully extended particle swarm optimization to pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of parallelizing multi-objective particle swarms. We propose and empirically compare two parallel versions which differ in the way they divide the swarm into subswarms that can be processed independently on different processors. One of the variants works asynchronously and is thus particularly suitable for heterogeneous computer clusters as occurring e.g. in modern grid computing platforms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="38c52717a5fa6c68b803b1fb53e18bd4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027592,"asset_id":94621341,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027592/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621341"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621341"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621341; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621340"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling"><img alt="Research paper thumbnail of Ant colony optimization for resource-constrained project scheduling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling">Ant colony optimization for resource-constrained project scheduling</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Evolutionary Computation</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621340"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621340"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621340; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94621340]").text(description); $(".js-view-count[data-work-id=94621340]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94621340; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94621340']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=94621340]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94621340,"title":"Ant colony optimization for resource-constrained project scheduling","internal_url":"https://www.academia.edu/94621340/Ant_colony_optimization_for_resource_constrained_project_scheduling","owner_id":25349076,"coauthors_can_edit":true,"owner":{"id":25349076,"first_name":"Hartmut","middle_initials":null,"last_name":"Schmeck","page_name":"HartmutSchmeck","domain_name":"kit","created_at":"2015-01-26T05:45:03.849-08:00","display_name":"Hartmut Schmeck","url":"https://kit.academia.edu/HartmutSchmeck"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621339"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621339/Portfolio_optimization_with_an_envelope_based_multi_objective_evolutionary_algorithm"><img alt="Research paper thumbnail of Portfolio optimization with an envelope-based multi-objective evolutionary algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/97027593/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621339/Portfolio_optimization_with_an_envelope_based_multi_objective_evolutionary_algorithm">Portfolio optimization with an envelope-based multi-objective evolutionary algorithm</a></div><div class="wp-workCard_item"><span>European Journal of Operational Research</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The problem of portfolio selection is a standard problem in financial engineering and has receive...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The problem of portfolio selection is a standard problem in financial engineering and has received a lot of attention in recent decades. Classical mean-variance portfolio selection aims at simultaneously maximizing the expected return of the portfolio and minimizing portfolio variance. In the case of linear constraints, the problem can be solved efficiently by parametric quadratic programming (i.e., variants of Markowitz' critical line algorithm). However, there are many real-world constraints that lead to a nonconvex search space, e.g., cardinality constraints which limit the number of different assets in a portfolio, or minimum buy-in thresholds. As a consequence, the efficient approaches for the convex problem can no longer be applied, and new solutions are needed. In this paper, we propose to integrate an active set algorithm optimized for portfolio selection into a multi-objective evolutionary algorithm (MOEA). The idea is to let the MOEA come up with some convex subsets of the set of all feasible portfolios, solve a critical line algorithm for each subset, and then merge the partial solutions to form the solution of the original non-convex problem. We show that the resulting envelope-based MOEA significantly outperforms existing MOEAs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a9c09d3b47991e3f8ede4d18de37db7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027593,"asset_id":94621339,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027593/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621339"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621339"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621339; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94621339]").text(description); $(".js-view-count[data-work-id=94621339]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94621339; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94621339']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94621112"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94621112/Organic_Computing_Addressing_Complexity_by_Controlled_Self_Organization"><img alt="Research paper thumbnail of Organic Computing Addressing Complexity by Controlled Self-Organization" class="work-thumbnail" src="https://attachments.academia-assets.com/97027394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94621112/Organic_Computing_Addressing_Complexity_by_Controlled_Self_Organization">Organic Computing Addressing Complexity by Controlled Self-Organization</a></div><div class="wp-workCard_item"><span>Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006)</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the past, the focus of the computer industry has been to improve hardware performance and add ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the past, the focus of the computer industry has been to improve hardware performance and add more and more features to the software. As a result, more and more appliances surrounding us are equipped with embedded computational power and wireless communication. As such, they become ever more flexible and multifunctional, and almost indispensable in daily life. On the other hand, the resulting systems become increasingly complex and unreliable, posing new challenges to designer and user. Organic Computing (OC) has the vision to address the challenges of complex distributed systems by making them more lifelike (organic), i.e. endowing them with abilities such as selforganization, self-configuration, self-repair, or adaptation. The designer's task is simplified, because it is no longer necessary to exactly specify the low-level system behavior in all possible situations that might occur, but instead leaving the system with a certain degree of freedom which allows it to react in an intelligent way to new situations. Also, use of such systems is simplified, as they can be controlled by setting few high-level goals, rather than having to manipulate many low-level parameters with unclear influence. In this paper, we give a general introduction to OC, and propose a generic observer-controller architecture as a framework for designing OC systems. Then, it is shown how to use this architecture at the example of a traffic light controller. The paper concludes with a summary and a discussion of future challenges.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1ee3615c4172fafa32a2d731d61c5c3e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97027394,"asset_id":94621112,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97027394/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94621112"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94621112"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94621112; 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