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dc.contributor.authorTsoulos, I. G.en
dc.contributor.authorLagaris, I. E.en
dc.date.accessioned2015-11-24T17:01:25Z-
dc.date.available2015-11-24T17:01:25Z-
dc.identifier.issn0010-4655-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10921-
dc.rightsDefault Licence-
dc.subjectglobal optimizationen
dc.subjectgenetic programmingen
dc.subjectgrammatical evolutionen
dc.subjectsimulated annealingen
dc.subjectglobal optimizationen
dc.subjectalgorithmen
dc.titleGenAnneal: Genetically modified simulated annealingen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.cpc.2005.12.011-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2006-
heal.abstractA modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report results of computational experiments with a set of test functions and we compare to methods of similar structure. The accompanying software accepts objective functions coded both in Fortran 77 and C++.en
heal.journalNameComputer Physics Communicationsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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