dc.contributorUniversidade Federal de São Paulo (UNIFESP)
dc.contributorInst Aeronaut & Espaco
dc.creatorMelo, Vinicius V. de [UNIFESP]
dc.creatorCarosio, Grazieli L. C.
dc.date.accessioned2016-01-24T14:31:56Z
dc.date.accessioned2022-10-07T21:19:27Z
dc.date.available2016-01-24T14:31:56Z
dc.date.available2022-10-07T21:19:27Z
dc.date.created2016-01-24T14:31:56Z
dc.date.issued2013-07-01
dc.identifierExpert Systems With Applications. Oxford: Pergamon-Elsevier B.V., v. 40, n. 9, p. 3370-3377, 2013.
dc.identifier0957-4174
dc.identifierhttp://repositorio.unifesp.br/handle/11600/36483
dc.identifier10.1016/j.eswa.2012.12.045
dc.identifierWOS:000316581300005
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4028548
dc.description.abstractSeveral constrained and unconstrained optimization problems have been adequately solved over the years thanks to advances in the metaheuristics area. in the last decades, different metaheuristics have been proposed employing new ideas, and hybrid algorithms that improve the original metaheuristics have been developed. One of the most successfully employed metaheuristics is the Differential Evolution. in this paper it is proposed a Multi-View Differential Evolution algorithm (MVDE) in which several mutation strategies are applied to the current population to generate different views at each iteration. the views are then merged according to the winner-takes-all paradigm, resulting in automatic exploration/exploitation balance. MVDE was tested to solve a set of well-known constrained engineering design problems and the obtained results were compared to those from many state-of-the-art metaheuristics. Results show that MVDE was very competitive in the considered problems, largely outperforming several of the compared algorithms. (C) 2012 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationExpert Systems With Applications
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.rightsAcesso restrito
dc.subjectEvolutionary computations
dc.subjectGlobal optimization
dc.subjectConstrained optimization
dc.subjectMetaheuristics
dc.subjectDifferential Evolution
dc.titleInvestigating Multi-View Differential Evolution for solving constrained engineering design problems
dc.typeArtigo


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