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dc.contributor.author Kaelo, P.
dc.contributor.author Ali, M.M.
dc.date.accessioned 2008-06-04T08:07:33Z
dc.date.available 2008-06-04T08:07:33Z
dc.date.issued 2006
dc.identifier.citation Kaelo, P, & Ali. M.M. (2006), A numerical study of some modified differential evolution algorithms, European Journal of Operational Research, 169, pp. 1176-1184 en
dc.identifier.issn 0377-2217
dc.identifier.uri http://hdl.handle.net/10311/64
dc.description.abstract Modifications 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.iso en en
dc.publisher Elsevier; www.elsevier.com/locate/ejor en
dc.subject Continuous variable en
dc.subject Modified differential evolution en
dc.subject Population set based method en
dc.subject Global optimization en
dc.title A numerical study of some modified differential evolution algorithms en
dc.type Article en


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