Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorParsopoulos, K. E.en
dc.contributor.authorPetalas, Y. G.en
dc.contributor.authorVrahatis, M. N.en
dc.rightsDefault Licence-
dc.titleStochastic Optimization for Detecting Periodic Orbits of Nonlinear Mappingsen
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.abstractThe detection of periodic orbits bears signi cance for the study of nonlinear mappings, since they can reveal crucial information on their dynamics. Recently, population based stochastic optimization algorithms were introduced to address problems where traditional gradient based approaches failed. The e ciency of these approaches in applications, triggered further research towards the development of more e cient variants. This work presents the principal concepts of applying concurrent stochastic population based approaches for the detection of periodic orbits, and also reports new results attained by the application of Memetic Algorithms on well known chaotic maps for periodic orbits with high period.en
heal.journalNameNonlinear Phenomenia in Complex Systemsen
heal.journalTypepeer reviewed-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

This item is licensed under a Creative Commons License Creative Commons