Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10719
Full metadata record
DC FieldValueLanguage
dc.contributor.authorParsopoulos, K. E.en
dc.contributor.authorPlagianakos, V. P.en
dc.contributor.authorMagoulas, G. D.en
dc.contributor.authorVrahatis, M. N.en
dc.date.accessioned2015-11-24T17:00:10Z-
dc.date.available2015-11-24T17:00:10Z-
dc.identifier.issn0362-546X-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10719-
dc.rightsDefault Licence-
dc.titleObjective function "stretching" to alleviate convergence to local minimaen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2001-
heal.abstractThis paper introduces a new technique for the alleviation of local minima in minimization problems. The proposed "stretching" technique transforms the objective function by stretching upwards the neighborhood of a given point, and assists in eliminating local minima, while preserving the global ones. Experiments indicate that when a global search method converges to an undesired local minimum, the use of the new technique provides a way of escape and helps convergence to the global minimum.en
heal.journalNameNonlinear Analysis-Theory Methods & Applicationsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)



This item is licensed under a Creative Commons License Creative Commons