{"id":1581,"date":"2025-11-06T14:56:45","date_gmt":"2025-11-06T14:56:45","guid":{"rendered":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/?page_id=1581"},"modified":"2025-12-16T12:21:46","modified_gmt":"2025-12-16T12:21:46","slug":"ss2026","status":"publish","type":"page","link":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/ss2026\/","title":{"rendered":"2026 Call for special session &#8211; CEC 2026 \/ WCCI"},"content":{"rendered":"\n<h4 class=\"wp-block-heading has-vivid-cyan-blue-background-color has-background\">User-Centric Algorithms and Fair Applications using AI and Evolutionary Computation<\/h4>\n\n\n\n<h4 class=\"wp-block-heading has-background\" style=\"background-color:#ffffff00\">Maastricht, Netherlands, 21-26 June 2026<\/h4>\n\n\n\n<p><strong>Organized<\/strong>&nbsp;by Jo\u00e3o Soares (jan@isep.ipp.pt), Fernando Lezama, Jose Almeida, Ansel Rodriguez, Zita Vale<\/p>\n\n\n\n<p>Modern energy and mobility systems are increasingly data-rich, distributed, and user- interactive. Decisions about charging, routing, pricing, and demand response now directly affect people and communities. This session spotlights user-centric and fairness-aware methods that combine AI and evolutionary computation (EC) to deliver reliable, transparent, and equitable outcomes across smart energy and smart mobility ecosystems, extending the observability and analytics emphasis of the original template to human-impacting use cases. As infrastructures scales (renewables, EVs, DERs, micromobility), optimization must balance multiple criteria such as accuracy, cost, resilience, privacy, and fairness under uncertainty and dynamic environments. EC and other computational-intelligence paradigms naturally explore multi-objective trade-offs, reveal Pareto frontiers, and yield interpretable choices for operators, policymakers, and end users.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Scope and Topics<\/strong><\/p>\n\n\n\n<p>Preferred topics are within Energy and Smart Mobility domains (but not restricted), using computational-intelligence techniques applied to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Evolutionary multi-objective design: fairness\u2013accuracy\u2013cost\u2013robustness trade-offs; constraint handling (network limits, service levels); many-objective EC.<\/li>\n\n\n\n<li>Observability &amp; data pipelines: grid and fleet observability; feature learning for demand, charging, routing; anomaly detection (power quality, energy theft, unsafe driving\/charging).<\/li>\n\n\n\n<li>Smart mobility applications: EV charging coordination, V2G\/V2X, equitable charger siting, multimodal routing, demand-responsive transit, micromobility balancing.<\/li>\n\n\n\n<li>Smart energy applications: inclusive demand flexibility, prosumer scheduling, DER coordination, distribution-grid monitoring and stability, forecasting of load\/RES\/traffic-energy couplings.<\/li>\n\n\n\n<li>Search &amp; AutoML for fairness: NAS\/HPO with fairness constraints; data-centric debiasing; synthetic data for rare-user segments.<\/li>\n\n\n\n<li>Causal &amp; counterfactual methods: counterfactual fairness, causal discovery for spurious-correlation mitigation; actionable recourse for users.<\/li>\n\n\n\n<li>Trust, privacy, and robustness: DP + robustness + fairness tri-objective setups; calibration\/uncertainty for safety-critical decisions.<\/li>\n\n\n\n<li>Human-in-the-loop and governance: interpretable policies, stakeholder-aware KPIs, alignment with standards\/regulation.<\/li>\n\n\n\n<li>Benchmarking: reproducible datasets\/workflows for combined energy-mobility tasks; realistic network\/traffic constraints and power-flow validation.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Important Dates<\/strong><\/h3>\n\n\n\n<p>Paper submission due:&nbsp;<strong>31 January 2026<\/strong><br>Notification of acceptance:&nbsp;<strong>15 March 2026<\/strong><br>Final paper submission and early registration:&nbsp;<strong>15 April, 2026<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">How to submit a paper<\/h3>\n\n\n\n<p><a href=\"https:\/\/ssl.linklings.net\/conferences\/WCCI\/\">Go go https:\/\/ssl.linklings.net\/conferences\/WCCI\/, select CEC paper under submit menu and then select the &#8220;CEC SS24 User-Centric Algorithms and Fair Applications Using AI and Evolutionary computation&#8221;<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Further related bibliography<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>[1]&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.matcom.2023.07.010\">Almeida, J., Soares, J., Lezama, F., Vale, Z., &amp; Francois, B. (2023). Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis. Mathematics and Computers in Simulation, 2024.<\/a><\/li>\n\n\n\n<li>[2]&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.asoc.2022.109162\">Rodr\u00edguez-Gonz\u00e1lez, A. Y., Lezama, F., Mart\u00ednez-L\u00f3pez, Y., Madera, J., Soares, J., &amp; Vale, Z. (2022). WCCI\/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective.&nbsp;<em>Applied Soft Computing<\/em>,&nbsp;<em>125<\/em>, 109162.<\/a><\/li>\n\n\n\n<li>[3]&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.swevo.2018.05.005\">Lezama, F., Soares, J., Vale, Z., Rueda, J., Rivera, S., &amp; Elrich, I. (2019). 2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results.&nbsp;<em>Swarm and evolutionary computation<\/em>,&nbsp;<em>44<\/em>, 420-427.<\/a><\/li>\n\n\n\n<li>[4]<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3319619.3326747\">&nbsp;Lezama, F., Soares, J., Faia, R., &amp; Vale, Z. (2019, July). Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. In&nbsp;<em>Proceedings of the Genetic and Evolutionary Computation Conference Companion<\/em>&nbsp;(pp. 7-8).<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Organizers<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-content\/uploads\/2025\/12\/image-2.png\" alt=\"\" class=\"wp-image-1643\" width=\"626\" height=\"362\"\/><\/figure>\n<\/div>\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/in\/fernando-lezama-04bb819a\/\" target=\"_blank\"><\/a><a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/in\/joao-soares-20b7694\" target=\"_blank\"><strong>Joao Soares<\/strong><\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.ipp.pt\/\">Polytechnic of Porto, PT<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.researchgate.net\/profile\/Fernando_Lezama2\"><strong>Fernando Lezama<\/strong><\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.ipp.pt\/\" target=\"_blank\" rel=\"noreferrer noopener\">Polytechnic of Porto PT<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.researchgate.net\/profile\/Jose-Almeida-45\" target=\"_blank\"><strong>Jose Almeida<\/strong><\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.ipp.pt\/\" target=\"_blank\">Polytechnic of Porto, PT<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.researchgate.net\/profile\/Ansel-Rodriguez-Gonzalez-2\" data-type=\"URL\" data-id=\"https:\/\/www.researchgate.net\/profile\/Ansel-Rodriguez-Gonzalez-2\"><strong>Ansel Rodriguez<\/strong><\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/ut3.cicese.mx\/\">CICESE Unidad Tepic, Mexico<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/zitavale\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Zita Vale<\/strong><\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.ipp.pt\/\" target=\"_blank\">Polytechnic of Porto, PT<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"677\" height=\"146\" src=\"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-content\/uploads\/2019\/12\/Logos.png\" alt=\"\" class=\"wp-image-157\" srcset=\"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-content\/uploads\/2019\/12\/Logos.png 677w, https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-content\/uploads\/2019\/12\/Logos-300x65.png 300w\" sizes=\"auto, (max-width: 677px) 100vw, 677px\" \/><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.gecad.isep.ipp.pt\/ci4energy\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Activity of IEEE CIS Task Force 3 on Computational Intelligence in the Energy Domain<\/strong><\/a><\/li>\n\n\n\n<li><a rel=\"noreferrer noopener\" href=\"http:\/\/sites.ieee.org\/pes-iss\/\" target=\"_blank\"><strong>Activity of Intelligent Systems Subcommittee (ISS), part of IEEE PES TC Analytic Methods for Power Systems (AMPS)<\/strong><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>User-Centric Algorithms and Fair Applications using AI and Evolutionary Computation Maastricht, Netherlands, 21-26 June 2026 Organized&nbsp;by Jo\u00e3o Soares (jan@isep.ipp.pt), Fernando Lezama, Jose Almeida, Ansel Rodriguez, Zita Vale Modern energy and mobility systems are increasingly data-rich, distributed, and user- interactive. Decisions about charging, routing, pricing, and demand response now directly affect people and communities. This session&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/ss2026\/\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":1069,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1581","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/pages\/1581","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/comments?post=1581"}],"version-history":[{"count":16,"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/pages\/1581\/revisions"}],"predecessor-version":[{"id":1651,"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/pages\/1581\/revisions\/1651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/media\/1069"}],"wp:attachment":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/wp-json\/wp\/v2\/media?parent=1581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}