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href="https://www.academia.edu/108414772/Two_stage_portfolio_risk_optimisation_based_on_MVO_model"><img alt="Research paper thumbnail of Two-stage portfolio risk optimisation based on MVO model" class="work-thumbnail" src="https://attachments.academia-assets.com/106805361/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/108414772/Two_stage_portfolio_risk_optimisation_based_on_MVO_model">Two-stage portfolio risk optimisation based on MVO model</a></div><div class="wp-workCard_item"><span>International Journal of Reasoning-based Intelligent Systems</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a two-stage portfolio risk optimisation based on Markowitz's mean variance op...</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 presents a two-stage portfolio risk optimisation based on Markowitz's mean variance optimisation (MVO) model. Historical return data for six asset classes are used to calculate the optimal proportions of assets, included in a portfolio, so that the expected return of each asset is no less than in advance given target value. Optimisation procedure is performed at the first stage, in order to select a limited number of assets among a large assets sample. At the second stage the optimal proportions of selected assets in the portfolio are calculated, minimising a risk objective function for a given rate of return. Ten optimisation problems are solved for different expected rate of return. The optimisation is performed in MATLAB. 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It is very di...</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">We use the Finite Element Method (FEM) (see [18, 22]) to solve the forward problem. It is very difficult to use an exact method to solve the inverse problem, taking into ac-count the ill-posedness of the problem. It is known that the complexity of the exact optimization methods for such ...</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="108414770"><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="108414770"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414770; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414770]").text(description); 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$(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="108414709"><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/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids"><img alt="Research paper thumbnail of Multi-Objective Optimization Approach for Energy Efficiency in Microgrids" 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/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids">Multi-Objective Optimization Approach for Energy Efficiency in Microgrids</a></div><div class="wp-workCard_item"><span>IFAC-PapersOnLine</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract The aim of this article is to present a methodology and an approach for energy efficienc...</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">Abstract The aim of this article is to present a methodology and an approach for energy efficiency optimization for buildings, connected in microgrids. The initial investment costs for the building and the energy costs are optimized while the environmental pollution is minimized at the same time. A bi-criterion optimization problem is formulated. It is solved by a multi-objective genetic algorithm in MATLAB. The possibilities of the approach are illustrated by the optimization of the energy efficiency of a group of three-storey houses connected in a microgrid. The obtained results demonstrate that the proposed approach could be implemented for different real problems concerning the buildings energy efficiency and may be helpful for construction managers, architects and decision makers in this area.</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="108414709"><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="108414709"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414709; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414709]").text(description); $(".js-view-count[data-work-id=108414709]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414709; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414709']"); 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" } } $('.js-work-strip[data-work-id=108414709]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414709,"title":"Multi-Objective Optimization Approach for Energy Efficiency in Microgrids","internal_url":"https://www.academia.edu/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414706"><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/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids"><img alt="Research paper thumbnail of An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids" 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/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids">An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An accelerated genetic algorithm called ASOGA for solving multi-objective optimization problems i...</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">An accelerated genetic algorithm called ASOGA for solving multi-objective optimization problems in a grid-connected microgrid is proposed in this paper. One four-criterial optimization problem is formulated. By means of the weighted sum scalarization the problem is transformed into single objective one and corresponding Pareto-optimal schedules of energy flows in the microgrid are obtained. The comparison of the novel algorithm with a trivial genetic algorithm shows an essential reduction of iterations number, necessary to achieve the final solution.</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="108414706"><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="108414706"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414706; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414706]").text(description); $(".js-view-count[data-work-id=108414706]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414706; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414706']"); 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" } } $('.js-work-strip[data-work-id=108414706]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414706,"title":"An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids","internal_url":"https://www.academia.edu/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414704"><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/108414704/Energy_Scheduling_for_Island_Microgrid_Applications"><img alt="Research paper thumbnail of Energy Scheduling for Island Microgrid Applications" class="work-thumbnail" src="https://attachments.academia-assets.com/106805256/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/108414704/Energy_Scheduling_for_Island_Microgrid_Applications">Energy Scheduling for Island Microgrid Applications</a></div><div class="wp-workCard_item"><span>Journal of Communication and Computer</span><span>, Jun 28, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper considers the calculation of an effective energy schedule in an islanded microgrid. Gri...</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 paper considers the calculation of an effective energy schedule in an islanded microgrid. GridLab-D open source simulation tool is used for simulation of microgrid elements. Matlab environment is used to run an optimization solver. The product GridMat is used as an interface tool between Matlab and GridLab-D. An economic scheduling optimization problem for the considered microgrid is formulated and solved. Analysis of the obtained results is presented.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7f9eb71b78232e6d2293a9c3327ea131" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805256,"asset_id":108414704,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805256/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="108414704"><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="108414704"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414704; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414704]").text(description); $(".js-view-count[data-work-id=108414704]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414704; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414704']"); 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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7f9eb71b78232e6d2293a9c3327ea131" } } $('.js-work-strip[data-work-id=108414704]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414704,"title":"Energy Scheduling for Island Microgrid Applications","internal_url":"https://www.academia.edu/108414704/Energy_Scheduling_for_Island_Microgrid_Applications","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"attachments":[{"id":106805256,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106805256/thumbnails/1.jpg","file_name":"582bb7727270e.pdf","download_url":"https://www.academia.edu/attachments/106805256/download_file","bulk_download_file_name":"Energy_Scheduling_for_Island_Microgrid_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106805256/582bb7727270e-libre.pdf?1697887873=\u0026response-content-disposition=attachment%3B+filename%3DEnergy_Scheduling_for_Island_Microgrid_A.pdf\u0026Expires=1739921476\u0026Signature=hKa1-XCEglI688Tx8KsieEitiYkJGz3F8zrSxeqaLAANHRLeTJ3z~QBiqmRgkH49cwto2mhYYb0c6YQAD8oQDY4-rD53ixY1wo~ajLUxo-Ymxaw289rncPHKUGFDWPn9mufS~hjQlsxH1wDoK9UZlskGq6sn2PNtDCHfadPahtpehd6XgM4dSGx~AzyiZNqB9o8swQ8vId90LE6DXmU46CEPHQDRVKq4g0htWajRf7mS~QPDp7fRa6vnVG7ke34jauIy9~UGnsdTXF0OEgtMfZOLUqD9EeQgNJt3IECwsp5ybkZWOUL7MQI78sNYtAhOrNyxdGPW3Sc0TTunxGTdtQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":106805252,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106805252/thumbnails/1.jpg","file_name":"582bb7727270e.pdf","download_url":"https://www.academia.edu/attachments/106805252/download_file","bulk_download_file_name":"Energy_Scheduling_for_Island_Microgrid_A.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106805252/582bb7727270e-libre.pdf?1697887876=\u0026response-content-disposition=attachment%3B+filename%3DEnergy_Scheduling_for_Island_Microgrid_A.pdf\u0026Expires=1739921476\u0026Signature=XM~XqrmuM-CNsHaASvyaA-thf402hW18gr7ekR8zlwUDjG8OFINUs2hoQ~hUB8jaoMx5ATmfbOAg1cCUIi4Wg-0AG8BIiM2WZkBdxMQXZcMRTbZ1o9JfYlhOi~Ir8VFz8Q3l3fAKkYc5kz~eIBAx99TPPHAKygb51P70kpJ8o1Y~lHbTaK-nPAo5vTBMrkUDEfHvX6VX1QlHfDqZSQOr20dtWyGOBvM7Y-Su78wpwIVbAXwaVPz9uclOFFyldzv9xe9ZY43yxhFqBRvg4xvUCLiKqvfhSx0bMzpagTrIzX8vlF3r4h48e3azpdAOXWYPWthKIw3k0UyY3XKJxqz06Q__\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="108414702"><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/108414702/A_Survey_of_Solving_Approaches_for_Multiple_Objective_Flexible_Job_Shop_Scheduling_Problems"><img alt="Research paper thumbnail of A Survey of Solving Approaches for Multiple Objective Flexible Job Shop Scheduling Problems" class="work-thumbnail" src="https://attachments.academia-assets.com/106805257/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/108414702/A_Survey_of_Solving_Approaches_for_Multiple_Objective_Flexible_Job_Shop_Scheduling_Problems">A Survey of Solving Approaches for Multiple Objective Flexible Job Shop Scheduling Problems</a></div><div class="wp-workCard_item"><span>Cybernetics and Information Technologies</span><span>, Jun 1, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many real life scheduling problems can be formulated as Flexible Job Shop Scheduling Problems (FJ...</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">Many real life scheduling problems can be formulated as Flexible Job Shop Scheduling Problems (FJSSPs) which simultaneously optimize several conflicting criteria. A typical feature of such problems is their high computational complexity. The purpose of this paper is to provide a review of the techniques, developed to solve multiple objective FJSSPs during the last decade. These techniques could be classified into two groups: approaches with application of mathematical models and heuristic approaches. Usually hybrid metaheuristic algorithms are proposed for large dimensional real life problems and they outlay the tendency for the future developments of efficient solution approaches for multiple objective FJSSPs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a811ebdb207a61a709e65fdbb21a6b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805257,"asset_id":108414702,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805257/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="108414702"><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="108414702"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414702; 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</script> <div class="js-work-strip profile--work_container" data-work-id="108414699"><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/108414699/Optimization_Techniques_in_Data_Management_A_Survey"><img alt="Research paper thumbnail of Optimization Techniques in Data Management: A Survey" 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/108414699/Optimization_Techniques_in_Data_Management_A_Survey">Optimization Techniques in Data Management: A Survey</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data Management can be defined as the process of extracting, storing, organizing, and maintaining...</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">Data Management can be defined as the process of extracting, storing, organizing, and maintaining the data created and collected in organizations. Today&#39;s organizations invest in data management solutions that provide an efficient way to manage data in a unified structure. The enormously growth of data in the last decades has created a necessity for the fast extracting, accessing, and processing of the data. Optimization has been a key component in improving the system&#39;s performance, searching and accessing data in different data management solutions. Optimization is a mathematical discipline that formulates mathematical models and finds the best solution among a set of feasible solutions. This paper aims to give a general overview of applications of optimization techniques and algorithms in different areas of data management in the last decades. Data management includes a large group of functionalities, but we will focus on studying and reviewing the recent development of optimization algorithms used in databases, data warehouses, big data and machine learning. Furthermore, this paper will identify applications of optimization in data management, reviews the current solutions proposed and emphasize future topics where there is a lack of studies in data management.</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="108414699"><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="108414699"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414699; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414699]").text(description); $(".js-view-count[data-work-id=108414699]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414699; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414699']"); 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" } } $('.js-work-strip[data-work-id=108414699]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414699,"title":"Optimization Techniques in Data Management: A Survey","internal_url":"https://www.academia.edu/108414699/Optimization_Techniques_in_Data_Management_A_Survey","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414697"><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/108414697/Interactive_environment_WebOptim_for_solving_multiple_objective_problems_using_scalarising_and_evolutionary_approaches"><img alt="Research paper thumbnail of Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches" class="work-thumbnail" src="https://attachments.academia-assets.com/106805312/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/108414697/Interactive_environment_WebOptim_for_solving_multiple_objective_problems_using_scalarising_and_evolutionary_approaches">Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches</a></div><div class="wp-workCard_item"><span>International Journal of Reasoning-based Intelligent Systems</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A web-based decision support system (DSS) is presented in this paper. It is an interactive enviro...</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">A web-based decision support system (DSS) is presented in this paper. It is an interactive environment for solving multiple-objective problems with continuous and/or integer decision variables. The system is targeted at different types of users-researchers, educators and business people. The system supports a number of fifteen interactive methods. They are incorporated into original generalised scalarising interactive method (GENS-IM). The choice of a method is organised in an implicit way on the base of decision maker's (DM) preferences. An evolutionary method is also included in the system. The DM can switch the methods in one solution process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5fc07da077b8d3f958e151e4dfb9cf52" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805312,"asset_id":108414697,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805312/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="108414697"><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="108414697"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414697; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414697]").text(description); $(".js-view-count[data-work-id=108414697]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414697; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414697']"); 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); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5fc07da077b8d3f958e151e4dfb9cf52" } } $('.js-work-strip[data-work-id=108414697]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414697,"title":"Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches","internal_url":"https://www.academia.edu/108414697/Interactive_environment_WebOptim_for_solving_multiple_objective_problems_using_scalarising_and_evolutionary_approaches","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"attachments":[{"id":106805312,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106805312/thumbnails/1.jpg","file_name":"ijris.2015.07090720231021-1-jrjtzp.pdf","download_url":"https://www.academia.edu/attachments/106805312/download_file","bulk_download_file_name":"Interactive_environment_WebOptim_for_sol.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106805312/ijris.2015.07090720231021-1-jrjtzp-libre.pdf?1697887871=\u0026response-content-disposition=attachment%3B+filename%3DInteractive_environment_WebOptim_for_sol.pdf\u0026Expires=1739921476\u0026Signature=fEJMgQJkL909eaxvV89m3FLB-2ULle9aCXRvqPY1f3P6KIH8Ll~pCTc6tSCZGu3~UbDjd8EzWZzv0b9kfkgVUjyhsr0zmkHrAsZ8A0ZcDGFQLdUVFs6cK8iVQVmpNcL7f4SQ74Tc9IGX-Dbbg4D7PWp9KsHNiudO-7FXMtEA7NfD255pzM1frG6nvyeKgIhb8nbVfPdPbFeJYooyE6wh7O2Axj0Hj044w5A1iWArjs-vjP8BJcWHajZG1AlnQ6pOfNXFD3mus-XKG5Aa8CCigmkvy-YSDzqpt2gFyEvxOhrJIN2IX56xaZ0QqUb0-4xnTurIF-yeL8s7N4O8UqyAkQ__\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="108414695"><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/108414695/A_prototype_of_a_web_based_decision_support_system_for_building_models_and_solving_optimization_and_decision_making_problems"><img alt="Research paper thumbnail of A prototype of a web-based decision support system for building models and solving optimization and decision making problems" 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/108414695/A_prototype_of_a_web_based_decision_support_system_for_building_models_and_solving_optimization_and_decision_making_problems">A prototype of a web-based decision support system for building models and solving optimization and decision making problems</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A prototype of a Web-based software system for optimization and multiple criteria decision making...</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">A prototype of a Web-based software system for optimization and multiple criteria decision making, applicable to business, research and learning purposes is presented. The system facilitates the construction of mathematical models and the solution of some popular real optimization and decision making problems. It has user friendly interface designed for different groups of users. The system software is accessible from anywhere by means of a standard browser and an Internet connection.</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="108414695"><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="108414695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414695; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414695]").text(description); $(".js-view-count[data-work-id=108414695]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414695; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414695']"); 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); 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</script> <div class="js-work-strip profile--work_container" data-work-id="108414693"><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/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_"><img alt="Research paper thumbnail of An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)" 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/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_">An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)</a></div><div class="wp-workCard_item"><span>World Scientific proceedings series on computer engingeering and information science</span><span>, Oct 1, 2012</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="108414693"><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="108414693"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414693; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414693]").text(description); $(".js-view-count[data-work-id=108414693]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414693; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414693']"); 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" } } $('.js-work-strip[data-work-id=108414693]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414693,"title":"An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)","internal_url":"https://www.academia.edu/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414691"><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/108414691/Efficient_Energy_Management_in_a_Microgrid"><img alt="Research paper thumbnail of Efficient Energy Management in a Microgrid" 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/108414691/Efficient_Energy_Management_in_a_Microgrid">Efficient Energy Management in a Microgrid</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Small scale renewable energy sources like photo-voltaic panels, wind turbines, etc can be easily ...</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">Small scale renewable energy sources like photo-voltaic panels, wind turbines, etc can be easily installed on home roof top and such architecture can minimize cost of energy and load on the main grid. Our approach is to generate energy at home through renewable energy (RE) resources and store surplus energy in the battery bank. If RE generation sources and battery reserve fails to satisfy the load, then power is supplied by the main grid. The major work is to develop an autonomous system that can manage all these sources effectively and efficiently. Despite many advantages of renewable energy sources its drawback is that these sources are weather and climate dependent. Night hours, clouds, wind speed, fog, etc are the factors that effect the performance of renewable energy sources with big impact. This research is based on a group of three prosumers who can generate energy via RE sources at home, stores it in a battery bank and takes the extra energy from nearby grid to fulfill the local demand if it is required. A heuristic algorithm is proposed and implemented for this study.</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="108414691"><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="108414691"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414691; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414691]").text(description); $(".js-view-count[data-work-id=108414691]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414691; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414691']"); 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" } } $('.js-work-strip[data-work-id=108414691]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414691,"title":"Efficient Energy Management in a Microgrid","internal_url":"https://www.academia.edu/108414691/Efficient_Energy_Management_in_a_Microgrid","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="108414690"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/108414690/IoT_Approach_for_Improving_the_Energy_Efficiency_in_the_Durres_Port_Authority_Buildings"><img alt="Research paper thumbnail of IoT Approach for Improving the Energy Efficiency in the Durres Port Authority Buildings" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/108414690/IoT_Approach_for_Improving_the_Energy_Efficiency_in_the_Durres_Port_Authority_Buildings">IoT Approach for Improving the Energy Efficiency in the Durres Port Authority Buildings</a></div><div class="wp-workCard_item"><span>2023 17th International Conference on Telecommunications (ConTEL)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="108414690"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="108414690"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414690; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414690]").text(description); $(".js-view-count[data-work-id=108414690]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414690; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414690']"); 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" } } $('.js-work-strip[data-work-id=108414690]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414690,"title":"IoT Approach for Improving the Energy Efficiency in the Durres Port Authority Buildings","internal_url":"https://www.academia.edu/108414690/IoT_Approach_for_Improving_the_Energy_Efficiency_in_the_Durres_Port_Authority_Buildings","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414688"><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/108414688/An_Algorithm_for_Generating_a_Dispersed_Population_of_Feasible_Schedules_for_Flexible_Job_Shop_Problems"><img alt="Research paper thumbnail of An Algorithm for Generating a Dispersed Population of Feasible Schedules for Flexible Job Shop Problems" class="work-thumbnail" src="https://attachments.academia-assets.com/106805311/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/108414688/An_Algorithm_for_Generating_a_Dispersed_Population_of_Feasible_Schedules_for_Flexible_Job_Shop_Problems">An Algorithm for Generating a Dispersed Population of Feasible Schedules for Flexible Job Shop Problems</a></div><div class="wp-workCard_item"><span>Information Technologies and Control</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The flexible job shop problems (FJSP) are an important class of scheduling problems and they have...</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 flexible job shop problems (FJSP) are an important class of scheduling problems and they have a significant practical value. Unfortunately it is not easy to solve job shop problems and in particular FJSPs because they are NP-hard problems. In this paper we propose a method for generating a set of feasible schedules for a given FJSP.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a50ef1614f1838b0fc315bab7f8085e8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805311,"asset_id":108414688,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805311/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="108414688"><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="108414688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414688; 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Historical return data for six asset classes are used to calculate the optimal proportions of assets, included in a portfolio, so that the expected return of each asset is no less than in advance given target value. Optimisation procedure is performed at the first stage, in order to select a limited number of assets among a large assets sample. At the second stage the optimal proportions of selected assets in the portfolio are calculated, minimising a risk objective function for a given rate of return. Ten optimisation problems are solved for different expected rate of return. The optimisation is performed in MATLAB. 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It is very di...</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">We use the Finite Element Method (FEM) (see [18, 22]) to solve the forward problem. It is very difficult to use an exact method to solve the inverse problem, taking into ac-count the ill-posedness of the problem. It is known that the complexity of the exact optimization methods for such ...</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="108414770"><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="108414770"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414770; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414770]").text(description); 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$(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="108414709"><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/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids"><img alt="Research paper thumbnail of Multi-Objective Optimization Approach for Energy Efficiency in Microgrids" 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/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids">Multi-Objective Optimization Approach for Energy Efficiency in Microgrids</a></div><div class="wp-workCard_item"><span>IFAC-PapersOnLine</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract The aim of this article is to present a methodology and an approach for energy efficienc...</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">Abstract The aim of this article is to present a methodology and an approach for energy efficiency optimization for buildings, connected in microgrids. The initial investment costs for the building and the energy costs are optimized while the environmental pollution is minimized at the same time. A bi-criterion optimization problem is formulated. It is solved by a multi-objective genetic algorithm in MATLAB. The possibilities of the approach are illustrated by the optimization of the energy efficiency of a group of three-storey houses connected in a microgrid. The obtained results demonstrate that the proposed approach could be implemented for different real problems concerning the buildings energy efficiency and may be helpful for construction managers, architects and decision makers in this area.</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="108414709"><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="108414709"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414709; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414709]").text(description); $(".js-view-count[data-work-id=108414709]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414709; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414709']"); 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" } } $('.js-work-strip[data-work-id=108414709]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414709,"title":"Multi-Objective Optimization Approach for Energy Efficiency in Microgrids","internal_url":"https://www.academia.edu/108414709/Multi_Objective_Optimization_Approach_for_Energy_Efficiency_in_Microgrids","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414706"><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/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids"><img alt="Research paper thumbnail of An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids" 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/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids">An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An accelerated genetic algorithm called ASOGA for solving multi-objective optimization problems i...</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">An accelerated genetic algorithm called ASOGA for solving multi-objective optimization problems in a grid-connected microgrid is proposed in this paper. One four-criterial optimization problem is formulated. By means of the weighted sum scalarization the problem is transformed into single objective one and corresponding Pareto-optimal schedules of energy flows in the microgrid are obtained. The comparison of the novel algorithm with a trivial genetic algorithm shows an essential reduction of iterations number, necessary to achieve the final solution.</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="108414706"><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="108414706"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414706; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414706]").text(description); $(".js-view-count[data-work-id=108414706]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414706; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414706']"); 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" } } $('.js-work-strip[data-work-id=108414706]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414706,"title":"An Accelerated Genetic Single Objective Algorithm for Optimization of Energy Flows in Microgrids","internal_url":"https://www.academia.edu/108414706/An_Accelerated_Genetic_Single_Objective_Algorithm_for_Optimization_of_Energy_Flows_in_Microgrids","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414704"><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/108414704/Energy_Scheduling_for_Island_Microgrid_Applications"><img alt="Research paper thumbnail of Energy Scheduling for Island Microgrid Applications" class="work-thumbnail" src="https://attachments.academia-assets.com/106805256/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/108414704/Energy_Scheduling_for_Island_Microgrid_Applications">Energy Scheduling for Island Microgrid Applications</a></div><div class="wp-workCard_item"><span>Journal of Communication and Computer</span><span>, Jun 28, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paper considers the calculation of an effective energy schedule in an islanded microgrid. Gri...</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 paper considers the calculation of an effective energy schedule in an islanded microgrid. GridLab-D open source simulation tool is used for simulation of microgrid elements. Matlab environment is used to run an optimization solver. The product GridMat is used as an interface tool between Matlab and GridLab-D. An economic scheduling optimization problem for the considered microgrid is formulated and solved. Analysis of the obtained results is presented.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7f9eb71b78232e6d2293a9c3327ea131" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805256,"asset_id":108414704,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805256/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="108414704"><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="108414704"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414704; 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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="108414702"><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/108414702/A_Survey_of_Solving_Approaches_for_Multiple_Objective_Flexible_Job_Shop_Scheduling_Problems"><img alt="Research paper thumbnail of A Survey of Solving Approaches for Multiple Objective Flexible Job Shop Scheduling Problems" class="work-thumbnail" src="https://attachments.academia-assets.com/106805257/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/108414702/A_Survey_of_Solving_Approaches_for_Multiple_Objective_Flexible_Job_Shop_Scheduling_Problems">A Survey of Solving Approaches for Multiple Objective Flexible Job Shop Scheduling Problems</a></div><div class="wp-workCard_item"><span>Cybernetics and Information Technologies</span><span>, Jun 1, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many real life scheduling problems can be formulated as Flexible Job Shop Scheduling Problems (FJ...</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">Many real life scheduling problems can be formulated as Flexible Job Shop Scheduling Problems (FJSSPs) which simultaneously optimize several conflicting criteria. A typical feature of such problems is their high computational complexity. The purpose of this paper is to provide a review of the techniques, developed to solve multiple objective FJSSPs during the last decade. These techniques could be classified into two groups: approaches with application of mathematical models and heuristic approaches. Usually hybrid metaheuristic algorithms are proposed for large dimensional real life problems and they outlay the tendency for the future developments of efficient solution approaches for multiple objective FJSSPs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a811ebdb207a61a709e65fdbb21a6b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805257,"asset_id":108414702,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805257/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="108414702"><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="108414702"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414702; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=108414701]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414701,"title":"Algorithm Generating Initial Population of Schedules for Population-based Algorithms Solving Flexible Job Shop Problems","internal_url":"https://www.academia.edu/108414701/Algorithm_Generating_Initial_Population_of_Schedules_for_Population_based_Algorithms_Solving_Flexible_Job_Shop_Problems","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414699"><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/108414699/Optimization_Techniques_in_Data_Management_A_Survey"><img alt="Research paper thumbnail of Optimization Techniques in Data Management: A Survey" 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/108414699/Optimization_Techniques_in_Data_Management_A_Survey">Optimization Techniques in Data Management: A Survey</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data Management can be defined as the process of extracting, storing, organizing, and maintaining...</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">Data Management can be defined as the process of extracting, storing, organizing, and maintaining the data created and collected in organizations. Today&#39;s organizations invest in data management solutions that provide an efficient way to manage data in a unified structure. The enormously growth of data in the last decades has created a necessity for the fast extracting, accessing, and processing of the data. Optimization has been a key component in improving the system&#39;s performance, searching and accessing data in different data management solutions. Optimization is a mathematical discipline that formulates mathematical models and finds the best solution among a set of feasible solutions. This paper aims to give a general overview of applications of optimization techniques and algorithms in different areas of data management in the last decades. Data management includes a large group of functionalities, but we will focus on studying and reviewing the recent development of optimization algorithms used in databases, data warehouses, big data and machine learning. Furthermore, this paper will identify applications of optimization in data management, reviews the current solutions proposed and emphasize future topics where there is a lack of studies in data management.</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="108414699"><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="108414699"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414699; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414699]").text(description); $(".js-view-count[data-work-id=108414699]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414699; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414699']"); 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" } } $('.js-work-strip[data-work-id=108414699]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414699,"title":"Optimization Techniques in Data Management: A Survey","internal_url":"https://www.academia.edu/108414699/Optimization_Techniques_in_Data_Management_A_Survey","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414697"><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/108414697/Interactive_environment_WebOptim_for_solving_multiple_objective_problems_using_scalarising_and_evolutionary_approaches"><img alt="Research paper thumbnail of Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches" class="work-thumbnail" src="https://attachments.academia-assets.com/106805312/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/108414697/Interactive_environment_WebOptim_for_solving_multiple_objective_problems_using_scalarising_and_evolutionary_approaches">Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches</a></div><div class="wp-workCard_item"><span>International Journal of Reasoning-based Intelligent Systems</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A web-based decision support system (DSS) is presented in this paper. It is an interactive enviro...</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">A web-based decision support system (DSS) is presented in this paper. It is an interactive environment for solving multiple-objective problems with continuous and/or integer decision variables. The system is targeted at different types of users-researchers, educators and business people. The system supports a number of fifteen interactive methods. They are incorporated into original generalised scalarising interactive method (GENS-IM). The choice of a method is organised in an implicit way on the base of decision maker's (DM) preferences. An evolutionary method is also included in the system. The DM can switch the methods in one solution process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5fc07da077b8d3f958e151e4dfb9cf52" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805312,"asset_id":108414697,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805312/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="108414697"><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="108414697"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414697; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414697]").text(description); $(".js-view-count[data-work-id=108414697]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414697; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414697']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="108414695"><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/108414695/A_prototype_of_a_web_based_decision_support_system_for_building_models_and_solving_optimization_and_decision_making_problems"><img alt="Research paper thumbnail of A prototype of a web-based decision support system for building models and solving optimization and decision making problems" 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/108414695/A_prototype_of_a_web_based_decision_support_system_for_building_models_and_solving_optimization_and_decision_making_problems">A prototype of a web-based decision support system for building models and solving optimization and decision making problems</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A prototype of a Web-based software system for optimization and multiple criteria decision making...</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">A prototype of a Web-based software system for optimization and multiple criteria decision making, applicable to business, research and learning purposes is presented. The system facilitates the construction of mathematical models and the solution of some popular real optimization and decision making problems. It has user friendly interface designed for different groups of users. The system software is accessible from anywhere by means of a standard browser and an Internet connection.</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="108414695"><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="108414695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414695; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414695]").text(description); 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</script> <div class="js-work-strip profile--work_container" data-work-id="108414693"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_"><img alt="Research paper thumbnail of An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_">An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)</a></div><div class="wp-workCard_item"><span>World Scientific proceedings series on computer engingeering and information science</span><span>, Oct 1, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="108414693"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="108414693"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414693; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414693]").text(description); $(".js-view-count[data-work-id=108414693]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414693; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414693']"); 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" } } $('.js-work-strip[data-work-id=108414693]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414693,"title":"An Evolutionary Algorithm for Integer Multicriteria Optimization (Evalimco)","internal_url":"https://www.academia.edu/108414693/An_Evolutionary_Algorithm_for_Integer_Multicriteria_Optimization_Evalimco_","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414691"><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/108414691/Efficient_Energy_Management_in_a_Microgrid"><img alt="Research paper thumbnail of Efficient Energy Management in a Microgrid" 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/108414691/Efficient_Energy_Management_in_a_Microgrid">Efficient Energy Management in a Microgrid</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Small scale renewable energy sources like photo-voltaic panels, wind turbines, etc can be easily ...</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">Small scale renewable energy sources like photo-voltaic panels, wind turbines, etc can be easily installed on home roof top and such architecture can minimize cost of energy and load on the main grid. Our approach is to generate energy at home through renewable energy (RE) resources and store surplus energy in the battery bank. If RE generation sources and battery reserve fails to satisfy the load, then power is supplied by the main grid. The major work is to develop an autonomous system that can manage all these sources effectively and efficiently. Despite many advantages of renewable energy sources its drawback is that these sources are weather and climate dependent. Night hours, clouds, wind speed, fog, etc are the factors that effect the performance of renewable energy sources with big impact. This research is based on a group of three prosumers who can generate energy via RE sources at home, stores it in a battery bank and takes the extra energy from nearby grid to fulfill the local demand if it is required. A heuristic algorithm is proposed and implemented for this study.</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="108414691"><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="108414691"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414691; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414691]").text(description); $(".js-view-count[data-work-id=108414691]").attr('title', description).tooltip(); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108414690]").text(description); $(".js-view-count[data-work-id=108414690]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108414690; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108414690']"); 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" } } $('.js-work-strip[data-work-id=108414690]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108414690,"title":"IoT Approach for Improving the Energy Efficiency in the Durres Port Authority Buildings","internal_url":"https://www.academia.edu/108414690/IoT_Approach_for_Improving_the_Energy_Efficiency_in_the_Durres_Port_Authority_Buildings","owner_id":47469692,"coauthors_can_edit":true,"owner":{"id":47469692,"first_name":"Vassil","middle_initials":"","last_name":"Guliashki","page_name":"VassilGuliashki","domain_name":"independent","created_at":"2016-04-21T05:12:11.182-07:00","display_name":"Vassil Guliashki","url":"https://independent.academia.edu/VassilGuliashki"},"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="108414688"><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/108414688/An_Algorithm_for_Generating_a_Dispersed_Population_of_Feasible_Schedules_for_Flexible_Job_Shop_Problems"><img alt="Research paper thumbnail of An Algorithm for Generating a Dispersed Population of Feasible Schedules for Flexible Job Shop Problems" class="work-thumbnail" src="https://attachments.academia-assets.com/106805311/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/108414688/An_Algorithm_for_Generating_a_Dispersed_Population_of_Feasible_Schedules_for_Flexible_Job_Shop_Problems">An Algorithm for Generating a Dispersed Population of Feasible Schedules for Flexible Job Shop Problems</a></div><div class="wp-workCard_item"><span>Information Technologies and Control</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The flexible job shop problems (FJSP) are an important class of scheduling problems and they have...</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 flexible job shop problems (FJSP) are an important class of scheduling problems and they have a significant practical value. Unfortunately it is not easy to solve job shop problems and in particular FJSPs because they are NP-hard problems. In this paper we propose a method for generating a set of feasible schedules for a given FJSP.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a50ef1614f1838b0fc315bab7f8085e8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106805311,"asset_id":108414688,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106805311/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="108414688"><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="108414688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108414688; 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