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dc.contributor.authorKaelo, P.
dc.contributor.authorAli, M.M.
dc.date.accessioned2008-06-04T08:07:33Z
dc.date.available2008-06-04T08:07:33Z
dc.date.issued2006
dc.identifier.citationKaelo, P, & Ali. M.M. (2006), A numerical study of some modified differential evolution algorithms, European Journal of Operational Research, 169, pp. 1176-1184en
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10311/64
dc.description.abstractModifications in mutation and localization in acceptance rule are suggested to the differential evolution algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the original differential evolution algorithm. Therefore, they offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring 'direct search type' methods. Numerical study is carried out using a set of 50 test problems many of which are inspired by practical applications.en
dc.language.isoenen
dc.publisherElsevier; www.elsevier.com/locate/ejoren
dc.subjectContinuous variableen
dc.subjectModified differential evolutionen
dc.subjectPopulation set based methoden
dc.subjectGlobal optimizationen
dc.titleA numerical study of some modified differential evolution algorithmsen
dc.typeArticleen


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