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dc.contributor.authorVoglis, C.en
dc.contributor.authorLagaris, I. E.en
dc.date.accessioned2015-11-24T17:02:15Z-
dc.date.available2015-11-24T17:02:15Z-
dc.identifier.issn0096-3003-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11030-
dc.rightsDefault Licence-
dc.subjectglobal optimizationen
dc.subjectmultistarten
dc.subjectstohastic approachen
dc.subjectlocal searchen
dc.subjectadaptive probabilityen
dc.subjectglobal optimization methodsen
dc.subjectstopping rulesen
dc.titleTowards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domainen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.amc.2009.03.012-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2009-
heal.abstractA stochastic global optimization method based on Multistart is presented. In this, the local search is conditionally applied with a probability that takes in account the topology of the objective function at the detail offered by the current status of exploration. As a result, the number of unnecessary local searches is drastically limited, yielding an efficient method. Results of its application on a set of common test functions are reported, along with a performance comparison against other established methods of similar nature. (C) 2009 Elsevier Inc. All rights reserved.en
heal.journalNameApplied Mathematics and Computationen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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