{"id":362,"date":"2024-09-16T05:13:16","date_gmt":"2024-09-16T03:13:16","guid":{"rendered":"https:\/\/www.evostar.org\/2025\/?page_id=362"},"modified":"2024-10-01T18:50:17","modified_gmt":"2024-10-01T16:50:17","slug":"pso","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2025\/evoapps\/pso\/","title":{"rendered":"30 years of Particle Swarm Optimization"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"689\" src=\"https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso-1024x689.png\" alt=\"\" class=\"wp-image-427\" srcset=\"https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso-1024x689.png 1024w, https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso-300x202.png 300w, https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso-768x516.png 768w, https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso-1536x1033.png 1536w, https:\/\/www.evostar.org\/2025\/wp-content\/uploads\/sites\/2\/2024\/10\/pso.png 2042w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Particle Swarm Optimization (PSO) is a population-based, swarm-intelligence algorithm for global optimization. Originally developed by Kennedy, Eberhart and Shi for simulating social behavior, as a very abstract representation of the movement of bird flocks or fish school, the algorithm was recognized as a powerful optimizer and presented as such during 1995\u2019s International Conference on Neural Networks (ICNN\u201995). The query \u201cParticle Swarm Optimization\u201d returns 470000 results on Google Scholar, and the original paper has almost 90000 citations, two results that highlight the popularity of the method among practitioners and evolutionary algorithms enthusiasts. The goal of this special session is to pay tribute to Kennedy, Eberhart and Shi\u2019s algorithm, by bringing together the best researchers working on PSO.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Topics of Interest<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Theory and practice of particle swarm optimization<\/li>\n\n\n\n<li>Cutting edge modern applications of PSO<\/li>\n\n\n\n<li>Novel ideas and out-of-the-box versions of PSO<\/li>\n\n\n\n<li>Reports of PSO\u2019s superiority in specific domains and applications<\/li>\n\n\n\n<li>Historical and retrospective information about PSO and its authors<\/li>\n\n\n\n<li>Novel mechanisms and operators<\/li>\n\n\n\n<li>Constraint handling in PSO<\/li>\n\n\n\n<li>Convergence and stall analysis<\/li>\n\n\n\n<li>PSO with evolutionary operators<\/li>\n\n\n\n<li>Discrete and combinatorial versions of PSO<\/li>\n\n\n\n<li>Multi- and many-objectives PSO<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Organisers<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Leonardo Vanneschi<\/strong><br>Universidade NOVA de Lisboa, Portugal<br>lvanneschi(at)novaims.unl.pt<\/li>\n\n\n\n<li><strong>Marco S. Nobile<\/strong><br>Ca\u2019 Foscari University of Venice, Italy<br>marco.nobile(at)unive.it<\/li>\n\n\n\n<li><strong>Vasco Coelho<\/strong><br>University of Milano-Bicocca, Italy<br>vasco.coelho(at)unimib.it<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Particle Swarm Optimization (PSO) is a population-based, swarm-intelligence algorithm for global optimization. Originally developed by Kennedy, Eberhart and Shi for simulating social behavior, as a very abstract representation of the movement of bird flocks or fish school, the algorithm was recognized as a powerful optimizer and presented as such during 1995\u2019s International Conference on Neural [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":36,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-notitle.php","meta":{"footnotes":""},"class_list":["post-362","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/pages\/362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/comments?post=362"}],"version-history":[{"count":4,"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/pages\/362\/revisions"}],"predecessor-version":[{"id":431,"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/pages\/362\/revisions\/431"}],"up":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/pages\/36"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2025\/wp-json\/wp\/v2\/media?parent=362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}