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遗传算法与微粒群算法的比较
引用本文:于泳海,王杉林.遗传算法与微粒群算法的比较[J].甘肃科学学报,2010,22(2):120-122.
作者姓名:于泳海  王杉林
作者单位:兰州商学院陇桥学院,信息管理系,甘肃,兰州,730101
摘    要:通过几个测试函数对遗传算法和微粒群算法进行了比较.结果表明在寻找最优解的最优值和速度方面,微粒群算法优于遗传算法.

关 键 词:遗传算法  微粒群算法  比较

The Comparison between Generic Algorithm and Particle Swarm Optimization
YU Yong-hai,WANG Shan-lin.The Comparison between Generic Algorithm and Particle Swarm Optimization[J].Journal of Gansu Sciences,2010,22(2):120-122.
Authors:YU Yong-hai  WANG Shan-lin
Institution:(Department of Information Management,Longqiao College,Lanzhou Commercial College,Lanzhou 730101,China)
Abstract:The generic algorithm and particle swarm optimization algorithm are compared by several benchmark functions.The result indicates that the latter is better in optimal value and searching speed than the former.
Keywords:generic algorithm  particle swarm optimization  comparison
本文献已被 CNKI 维普 万方数据 等数据库收录!
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