摘要
Anoveloptimizationalgorithmcalledstochasticfocusingsearch(SFS)forthereal-parameteroptimizationisproposed.Thenewalgorithmisaswarmintelligencealgorithm,whichisbasedonsimulatingtheactofhumanrandomizedsearching,andthehumansearchingbehaviors.Thealgorithm'sperformanceisstudiedusingachallengingsetoftypicallycomplexfunctionswithcomparisonofdifferentialevolution(DE)andthreemodifiedparticleswarmoptimization(PSO)algorithms,andthesimulationresultsshowthatSFSiscompetitivetosolvemostpartsofthebenchmarkproblemsandwillbecomeapromisingcandidateofsearchalgorithmsespeciallywhentheexistingalgorithmshavesomedifficultiesinsolvingcertainproblems.
出版日期
2009年04月14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)