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（中国期刊网平台首次上网日期，不代表论文的发表时间）
