高技术通讯2018，Vol.28Issue(3)：214-218,5.DOI:10.3772/j.issn.1002-0470.2018.03.004
算法的优化:基于适应度方差的涡流搜索方法
A fitness variance based vortex search method for algorithm optimization
摘要
Abstract
The algorithm optimization is studied .In order to overcome the problem that the vortex search ( VS ) method for algorithm optimization may fall into local optimum in operation , a new vortex search method based on fitness va-riance , called the FVS , is proposed .The FVS method calculates the variance of fitness value of all alternative solu-tions at each iteration .If the calculation result is less than a set threshold , the position of the alternative solution of the vortex search method is adjusted .The alternative solution generated by the method can jump out of the limit of the local optimal .This optimization method is compared with the original vortex search method and other methods on 8 test functions , and the results verify the effectiveness of the proposed method .关键词
算法优化/涡流搜索(VS)算法/适应度/方差Key words
algorithm optimization/vortex search ( VS) algorithm/fitness/variance引用本文复制引用
刘魏岩,邹立颖,王红艳..算法的优化:基于适应度方差的涡流搜索方法[J].高技术通讯,2018,28(3):214-218,5.基金项目
黑龙江省留学归国人员科学基金(LC2017028)资助项目. （LC2017028）
