{"id":497,"date":"2019-10-03T10:06:30","date_gmt":"2019-10-03T08:06:30","guid":{"rendered":"http:\/\/www.evostar.org\/2020\/?page_id=497"},"modified":"2021-11-02T06:08:18","modified_gmt":"2021-11-02T05:08:18","slug":"dps","status":"publish","type":"page","link":"https:\/\/www.evostar.org\/2022\/evoapps\/dps\/","title":{"rendered":"Parallel and Distributed Systems"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Evolutionary\n algorithms –and meta-heuristics in general– are strongly intertwined \nwith distributed and parallel systems. Essentially a meta-heuristic can \nbe represented, most of the time, as a complex system where the \ninteracting components can be treated as parallel processes and analyzed\n from the perspective of their complex emergent behavior. One may think,\n for example, on the ongoing interactions in a population of individuals\n in an evolutionary algorithm.<\/p>\n\n\n\n

Being\n aware of these and other aspects of complexity at design time is \ncrucial for building more efficient strategies and increase the overall \nperformance of an algorithm. That can be reflected, for instance, in an \nimprovement of the running times (e.g. with a parallel version of the \nalgorithm), or in terms of improving the quality of the solutions (e.g. \nif we establish a niching strategy in multi-modal optimization), or, why\n not, in both cases (e.g. using a parallel approach which acts, at the \nsame time, as a niching strategy). In many cases, the algorithms used in\n a concurrent, distributed environment will have to be rethought from \nthe ground up to leverage all the capabilities of the environment. And \nin all cases, the algorithm and the parallel platform will interact in \nunpredictable ways, having an influence in the performance that needs to\n be measured and assessed.<\/p>\n\n\n\n

Therefore, the aim of this special session is to foster the discussion about parallelism in the field of metaheuristics but also to encourage the analysis of what can metaheuristics offer in the different optimization problems related to parallel infrastructures. <\/p>\n\n\n\n

Download the CFP in PDF from here.<\/a><\/p>\n\n\n\n

Topics of Interest<\/h2>\n\n\n\n

Topics of interest include but are not limited to:<\/p>\n\n\n\n

  • Parallel\/distributed\/concurrent implementations of metaheuristics<\/li>
  • Metaheuristics applied to parallel infrastructures problems such as scheduling, pricing or energy efficiency.<\/li>
  • Massively parallel architectures such as volunteer computing or P2P systems<\/li>
  • Emergent technologies: blockchain, 5G, GPGPU, Cloud Computing, Internet Computing…<\/li>
  • Parallel metaheuristics applied to real-life problems<\/li>
  • Self-organizing distributed systems<\/li>
  • Complex population structures<\/li><\/ul>\n\n\n\n

    Organizers<\/strong><\/h2>\n\n\n\n
    • Juan Juli\u00e1n Merelo Guerv\u00f3s<\/strong>
      Universidad de Granada, Spain
      jmerelo(at)ugr.es<\/li>
    • Juan Luis Jim\u00e9nez Laredo<\/strong>
      Universit\u00e9 Le Havre Normandie, France
      juanlu.jimenez(at)univ-lehavre.fr<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"

      Evolutionary algorithms –and meta-heuristics in general– are strongly intertwined with distributed and parallel systems. Essentially a meta-heuristic can be represented, most of the time, as a complex system where the interacting components can be treated as parallel processes and analyzed from the perspective of their complex emergent behavior. One may think, for example, on the […]<\/p>\n","protected":false},"author":12,"featured_media":0,"parent":80,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-notitle.php","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/497"}],"collection":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/comments?post=497"}],"version-history":[{"count":9,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/497\/revisions"}],"predecessor-version":[{"id":1721,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/497\/revisions\/1721"}],"up":[{"embeddable":true,"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/pages\/80"}],"wp:attachment":[{"href":"https:\/\/www.evostar.org\/2022\/wp-json\/wp\/v2\/media?parent=497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}