嵌入演化策略的双种群遗传算法及其应用  

The Dual Population Genetic Algorithm Embedded in Evolution Strategies and Its Applications

作　　者：张艳辉[1] 凌玲[1] 王攀[1] 李幼凤[1] 

机构地区：[1]武汉理工大学(东院)电子与信息学院,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2001年第2期10-12,19,共4页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家自然科学基金资助项目! (6 96 740 41);国家自然科学基金重大项目! (79990 5 80 )

摘　　要：针对标准遗传算法的局部搜索能力差、解的精度低等一些不足 ,提出了一种嵌入演化策略的双种群遗传算法 ,即用自适应遗传算法进行大种群寻优 ,用演化策略优化小种群。将该方法应用于非线性约束优化问题中 ,结果表明 ,该算法的局部搜索能力。Because of the weak capability in local search and the lack of precision in the standard Genetic Algorithm(GA), a new algorithm —— the Dual Population Genetic Algorithm embedded in Evolution Strategies(ESs) —— is proposed. This algorithm is used to optimize toward the general population with a self adaptive GA and to look for toward the local population with Evolution Strategies. This algorithm is applied to nonlinear optimization problems with restraining conditions and the results show that the ability in local research, the precision of the calculation speed and its speed are greatly improved.

关 键 词：双种群遗传算法 演化策略 非线性规划 约束优化 

分 类 号：O242.23[理学—计算数学]