Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10786
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dc.contributor.authorBartz Beielstein, T.en
dc.contributor.authorParsopoulos, K. E.en
dc.contributor.authorVrahatis, M. N.en
dc.date.accessioned2015-11-24T17:00:35Z-
dc.date.available2015-11-24T17:00:35Z-
dc.identifier.issn1611-8189-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10786-
dc.rightsDefault Licence-
dc.subjectKey worden
dc.titleDesign and Analysis of Optimization Algorithms Using Computational Statisticsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1002/anac.200410007-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2004-
heal.abstractWe propose a highly flexible sequential methodology for the experimental analysis of optimization algorithms. The proposed technique employs computational statistic methods to investigate the interactions among optimization problems, algorithms, and environments. The workings of the proposed technique are illustrated on the parameterization and comparison of both a population based and a direct search algorithm, on a well known benchmark problem, as well as on a simplified model of a real world problem. Experimental results are reported and conclusions are derived. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)en
heal.publisherWILEY-VCH Verlagen
heal.journalNameApplied Numerical Analysis & Computational Mathematicsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)



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