摘要
Inthispaper,weextendanovelunconstrainedmultiobjectiveoptimizationalgorithm,so-calledmultiobjectiveextremaloptimization(MOEO),tosolvetheconstrainedmultiobjectiveoptimizationproblems(MOPs).Theproposedapproachisvalidatedbythreeconstrainedbenchmarkproblemsandsuccessfullyappliedtohandlingthreemultiobjectiveengineeringdesignproblemsreportedinliterature.Simulationresultsindicatethattheproposedapproachishighlycompetitivewiththreestate-of-the-artmultiobjectiveevolutionaryalgorithms,i.e.,NSGA-II,SPEA2andPAES.ThusMOEOcanbeconsideredagoodalternativetosolveconstrainedmultiobjectiveoptimizationproblems.
出版日期
2007年12月22日（中国Betway体育网页登陆平台首次上网日期，不代表论文的发表时间）
