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适用于复杂函数优化的多群体遗传算法
Multi population genetic algorithm for complex function optimization
【摘要】 提出了一种适合于复杂函数寻优的多群体遗传算法.该方法对搜索区域进行划分,使每个子区域具有简单的函数形态.对每个子区域安排一个子群体进行搜索,这个过程可并行进行.仿真表明该方法速度快,可同时获得多个局部极值点.
【Abstract】 This paper presents a multiple population genetic algorithm suited for the optimization of complex functions . Using the genetic algorithm with sharing function, the input space can be partitioned into several subsets in which only one output extreme point is existed. One population is assigned to search the optimum output in each subspace, the multiple population genetic algorithm is proved to be converged to the global optimum quickly and hardly to get stuck at a local optimum with computer simulation.
【关键词】 聚类方法遗传算法优化函数优化;
【Key words】 cluster method genetic algorithm optimization function optimization;
【Key words】 cluster method genetic algorithm optimization function optimization;
- 【文献出处】 西安工业学院学报 ,JOURNAL OF XI’AN INSTITUTE OF TECHNOLOGY , 编辑部邮箱 ,1997年03期
- 【分类号】TP18
- 【被引频次】5
- 【下载频次】97