{"id":364,"date":"2024-09-16T05:20:27","date_gmt":"2024-09-16T03:20:27","guid":{"rendered":"https:\/\/www.evostar.org\/2027\/?page_id=364"},"modified":"2026-09-07T19:37:56","modified_gmt":"2026-09-07T17:37:56","slug":"ecefcc","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2027\/evoapps\/ecefcc\/","title":{"rendered":"Evolutionary Computation in Edge, Fog, and Cloud Computing"},"content":{"rendered":"\n<p>Recent years have witnessed an increasing demand for Edge and Fog computing paradigms with the emergence of Internet of Things concepts everywhere. Cloud computing, based on the concept of pay-as-you-go, has been considered a computing paradigm providing different types of services remotely via the Internet. On the other hand, due to the existing limitations connected to the transfer of the sheer volume of data generated by IoT devices to the cloud, Edge and Fog computing paradigms have emerged to get data processed closer to the generation sources. Edge and Fog computing have been extensively recognised as promising solutions to meet the requirements of low latency and energy efficiency.<\/p>\n\n\n\n<p>These emerging computing paradigms have been facing various optimisation challenges and complicated problems as well. Computational intelligence, such as Evolutionary Computation (EC), could offer intelligent solutions to the new computing environments and their real-world applications to meet these optimisation challenges. The development of novel EC techniques for Cloud, Fog, and Edge computing has attracted a substantial amount of attention recently from both academia and industry.<\/p>\n\n\n\n<p>This special session aims to solve different problems in the scope of Cloud, Fog, and Edge computing using EC techniques, covering different evolutionary computation paradigms such as Genetic Algorithms (GAs), Genetic Programming (GP), Evolutionary Programming (EP), Evolution Strategies (ES), Memetic Algorithms (MAs), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Differential Evolution (DE), and Evolutionary Multi-objective Optimization (EMO). The goal of this special track is to provide a session for presenting novel EC techniques for Cloud, Fog, and Edge computing, and to provide a forum for experts to disseminate their recent advances and future perspectives in the field.<\/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>Evolutionary computation for scheduling in Cloud, Fog, and Edge environments<\/li>\n\n\n\n<li>Evolutionary computation for resource allocation optimisation<\/li>\n\n\n\n<li>Evolutionary computation for node discovery and sensor-near processing in Cloud, Fog, and Edge environments<\/li>\n\n\n\n<li>Evolutionary computation for pricing mechanisms in Cloud, Fog, and Edge environments<\/li>\n\n\n\n<li>Evolutionary computation for management of sustainable energy consumption<\/li>\n\n\n\n<li>Evolutionary computation for federated learning applications in Cloud, Fog, and Edge environments<\/li>\n\n\n\n<li>Evolutionary computation for generative AI and foundation models in Cloud, Fog, and Edge environments<\/li>\n\n\n\n<li>Integration of evolutionary computation and generative AI for Cloud, Fog, and Edge computing<\/li>\n\n\n\n<li>Hybrid algorithms between Evolutionary computation, neural networks, and fuzzy systems for Cloud, Fog, and Edge<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Organisers<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Diego Oliva<\/strong><br>Universidad de Guadalajara, M\u00e9xico<br>diego.oliva(at)academicos.udg.mx<\/li>\n\n\n\n<li><strong>Seyed Jalaleddin Mousavirad<\/strong><br>Mid Sweden University, Sweden<br>Seyedjalaleddin.mousavirad(at)miun.se<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Recent years have witnessed an increasing demand for Edge and Fog computing paradigms with the emergence of Internet of Things concepts everywhere. Cloud computing, based on the concept of pay-as-you-go, has been considered a computing paradigm providing different types of services remotely via the Internet. On the other hand, due to the existing limitations connected [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":36,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-364","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/pages\/364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/comments?post=364"}],"version-history":[{"count":8,"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/pages\/364\/revisions"}],"predecessor-version":[{"id":1700,"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/pages\/364\/revisions\/1700"}],"up":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/pages\/36"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2027\/wp-json\/wp\/v2\/media?parent=364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}