Evaluating differential evolution with penalty function to solve constrained engineering problems

dc.contributorUniversidade Federal de São Paulo (UNIFESP)
dc.contributorUniv Ribeirao Preto
dc.creatorMelo, Vinicius Veloso de [UNIFESP]
dc.creatorCosta Carosio, Grazieli Luiza
dc.date.accessioned2016-01-24T14:27:25Z
dc.date.accessioned2022-10-07T20:50:30Z
dc.date.available2016-01-24T14:27:25Z
dc.date.available2022-10-07T20:50:30Z
dc.date.created2016-01-24T14:27:25Z
dc.date.issued2012-07-01
dc.identifierExpert Systems With Applications. Oxford: Pergamon-Elsevier B.V., v. 39, n. 9, p. 7860-7863, 2012.
dc.identifier0957-4174
dc.identifierhttp://repositorio.unifesp.br/handle/11600/35058
dc.identifier10.1016/j.eswa.2012.01.123
dc.identifierWOS:000303281600028
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4023705
dc.description.abstractOver the the years, several metaheuristics have been developed to solve hard constrained and unconstrained optimization problems. in general, a metaheuristic is proposed and following researches are made to improve the original algorithm. in this paper, we evaluate a not so new metaheuristic called differential evolution (DE) to solve constrained engineering design problems and compare the results with some recent metaheuristics. Results show that the classical de with a very simple penalty function to handle constraints is still very competitive in the tested problems. (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.subjectOptimization
dc.subjectEngineering design
dc.subjectMetaheuristics
dc.subjectDifferential evolution
dc.titleEvaluating differential evolution with penalty function to solve constrained engineering problems
dc.typeArtigo


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