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id="content-column-2" class="col-md-9 col-md-push-3"> <div itemprop="articleBody"> <p><img style="display: block; margin-left: auto; margin-right: auto;" src="/images/files/Publications/magazine.jpg" alt="magazine" /></p> <p>&nbsp;</p> <p style="padding-left: 30px;">&nbsp;<a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10207"><img style="width: 194px; height: 265px; border: #000000; margin-right: 10px; float: left;" src="/images/files/2022-1_CIM_Cover.png" alt="2022 1 CIM Cover" width="194" height="265" data-mce-width="194" data-mce-height="265" /></a>The <a href="http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10207">IEEE Computational Intelligence Magazine (CIM)</a> publishes peer-reviewed articles that present emerging novel discoveries, &nbsp;important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the&nbsp;<a href="/about/mission-vision-foi">Field of Interest</a>&nbsp;of the IEEE Computational Intelligence Society (IEEE/CIS). Additionally, CIM serves as a media of communications between the governing body and its membership of IEEE/CIS. Authors are encouraged to submit papers on applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research.</p> <p style="text-align: justify;">Contributions should contain novel and previously unpublished material. The novelty will usually lie in original concepts, results, techniques, observations, hardware/software implementations, or applications, but may also provide syntheses or new insights into previously reported research. Surveys and expository submissions are also welcome. In general, material which has been previously copyrighted, published or accepted for publication will not be considered for publication; however, prior preliminary or abbreviated publication of the material shall not preclude publication in this journal.</p> <p align="center"><a href="https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER339-PRT&amp;searchResults=Y"><button class="btn btn-danger btn-lg" type="button">Subscribe</button></a> <a href="https://ieee.atyponrex.com/journal/cim-ieee"><button class="btn btn-danger btn-lg" type="button">Submit Manuscript</button></a> <a href="https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10207"><button class="btn btn-danger btn-lg" type="button">View Current Issue</button></a></p> <p class="h4"><br />Impact Score</p> <p style="text-align: justify;"><a href="https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/about-content#journal-citation-metrics"><img style="width: 408px; height: 123px;" src="/images/files/Publications/impact-scores/CIM_2024_2.png" alt="CIM 2024 2" data-mce-width="408" data-mce-height="123" /></a></p> <p style="text-align: justify;">The values displayed for the journal bibliometrics fields in IEEE Xplore are based on the Journal Citation Report from Clarivate from the 2023 report released in June 2024. The values displayed for CiteScore metrics are from Scopus 2023 report released in June 2024. Journal Citation Metrics Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable. Each year, Journal Citation Reports© (JCR) from Thomson Reuters examines the influence and impact of scholarly research journals. JCR reveals the relationship between citing and cited journals, offering a systematic, objective means to evaluate the world's leading journals.&nbsp; Find out more about <a href="https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/about-content#journal-citation-metrics" target="_blank" rel="noopener">IEEE Journal Rankings</a>.</p> <h3 style="font-family: 'Helvetica Neue', Helvetica, Verdana, Arial, sans-serif;">Special Issues</h3> <p><b>Advancing Computational Intelligence in Autonomous Learning and Optimization Systems [<a href="/images/files/Documents/call-for-papers/cim/CIM-SI-ACIALOS_1.pdf">Call for Papers</a>]</b><br /> Guest Editors: Yaqing Hou, Liang Feng, and Yi Mei<br /> Submission Deadline: <strong>August 1, 2024 (Extended)</strong></p> <h3><br />Featured Papers</h3> <section></section> <p><strong>Recent Developments in Recommender Systems: A Survey</strong></p> <p>In this technical survey, the latest advancements in the field of recommender systems are comprehensively summarized. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. It starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. <strong><a href="https://ieeexplore.ieee.org/document/10494051">Read more (subscription required)</a></strong></p> <p><strong>Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison</strong></p> <p>Scheduling heuristics are commonly used to solve dynamic scheduling problems in real-world applications. However, designing effective heuristics can be time-consuming and often leads to suboptimal performance. Genetic programming has been widely used to automatically learn scheduling heuristics. In recent years, reinforcement learning has also gained attention in this field. Understanding their strengths and weaknesses is crucial for developing effective scheduling heuristics. This paper takes a typical genetic programming method and a typical reinforcement learning method in dynamic flexible job shop scheduling for investigation. <strong><a href="https://ieeexplore.ieee.org/document/10494009">Read more (subscription required)</a></strong></p> <p><em>IEEE Computational Intelligence Magazine</em>, May 2024</p> <div class="clearfix"></div></article> <div id="content-column-1" class="col-md-3 col-md-pull-9"> <hr class="visible-sm-block visible-xs-block" /> <ul class="nav navbar-nav menu"> <li id="secondary-nav" class="menu-title visible-sm visible-xs">IEEE Computational Intelligence Magazine</li><li class="item-645 child"><a href="/publications/ci-magazine/ieee-computational-intelligence-magazine" ><span>IEEE Computational Intelligence Magazine</span></a></li><li class="item-595 child"><a href="/publications/ci-magazine/welcome-from-the-vice-president-for-publications" ><span>Welcome from the Vice President for Publications</span></a></li><li class="item-336 child"><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=10384543" ><span>Editors and Associate Editors</span></a></li><li class="item-337 child"><a href="http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10207" ><span>IEEE Xplore (CIM)</span></a></li><li class="item-338 child"><a href="/publications/ci-magazine/cim-information-for-authors" ><span>Information for Authors</span></a></li><li class="item-340 child"><a href="/publications/ci-magazine/guidelines-for-paper-submission" ><span>Guidelines for Paper Submission</span></a></li><li class="item-341 child"><a href="/publications/ci-magazine/cim-types-of-contributions" ><span>Types of Contributions</span></a></li><li class="item-342 child"><a href="/publications/ci-magazine/cim-manuscript-format" ><span>Manuscript Format</span></a></li><li class="item-339 child"><a href="/publications/ci-magazine/cim-manuscript-submission" ><span>Manuscript Submission</span></a></li><li class="item-343 child"><a href="/publications/ci-magazine/cim-ieee-copyright" ><span>IEEE Copyright</span></a></li><li class="item-344 child"><a href="/publications/ci-magazine/cim-page-charges" ><span>Page Charges</span></a></li><li class="item-347 child"><a href="/publications/ci-magazine/cim-professional-editing-services" ><span>Professional Editing Services </span></a></li><li class="item-348 child"><a href="/publications/ci-magazine/cim-plagiarism-and-ethical-issues" ><span>Plagiarism and Ethical Issues </span></a></li><li class="item-349 child"><a href="/publications/ci-magazine/cim-arvix" ><span>Arxiv</span></a></li><li class="item-351 child"><a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10207&amp;isnumber=8065092t" ><span>Recent Articles </span></a></li><li class="item-352 child"><a href="http://ieeexplore.ieee.org/xpl/topAccessedArticles.jsp?punumber=10207" ><span>Most Accessed Articles </span></a></li><li class="item-353 child"><a href="/publications/ci-magazine/cim-special-issues" ><span>Special Issues</span></a></li><li class="item-335 child"><a href="/publications/ci-magazine/cim-featured-paper" ><span>Featured Paper</span></a></li><li class="item-350 child"><a href="http://advertise.ieee.org/product-advertising-view-all/ieee-computational-intelligence-magazine-print-digital/" ><span>Advertising</span></a></li></ul> </div> </div> </div> </div> <!-- footer --> <footer class="hidden-print"> <div class="container"> <div class="row"> <div class="col-md-12"> <hr class="footer-separator"> </div> </div> <div class="custom" > <footer class="custom-footer container"> <div class="row"> <div class="col-md-6"> <ul class="list-inline"> <li><a href="https://ieee-cis.blogspot.co.uk/"><i class="fa fa-rss social-icon fa-lg"></i>&nbsp;&nbsp;</a></li> <li><a href="https://twitter.com/ieeecis"><i class="fa fa-facebook social-icon fa-lg"></i>&nbsp; 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