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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10949
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dc.contributor.authorParsopoulos, K. E.en
dc.contributor.authorVrahatis, M. N.en
dc.date.accessioned2015-11-24T17:01:36Z-
dc.date.available2015-11-24T17:01:36Z-
dc.identifier.issn0895-7177-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10949-
dc.rightsDefault Licence-
dc.subjectparticle swarm optimizationen
dc.subjectunified particle swarm optimizationen
dc.subjectparameter selectionen
dc.subjectparameter adaptationen
dc.subjectconvergenceen
dc.subjectcomputationen
dc.subjectalgorithmen
dc.subjectdesignen
dc.titleParameter selection and adaptation in Unified Particle Swarm Optimizationen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.mcm.2006.12.019-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2007-
heal.abstractThe performance of the recently proposed Unified Particle Swarm Optimization method is investigated under different schemes for the determination and adaptation of the unification factor, which is the main parameter of the method, controlling its exploration and exploitation properties. Widely used benchmark problems are employed and numerous experiments are conducted along with statistical tests to yield useful conclusions regarding the effect of the parameter on the algorithm's performance as well as the most efficient adaptation schemes. (c) 2007 Elsevier Ltd. All rights reserved.en
heal.journalNameMathematical and Computer Modellingen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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