改进遗传算法在减速器优化设计中的应用  

Improved genetic algorithms′ application in reducer optimazation design

作　　者：王琦[1] 张文鹏[1] 施雷[1] 

机构地区：[1]南昌航空大学,江西南昌330063

出　　处：《机械研究与应用》2009年第2期76-78,82,共4页Mechanical Research & Application

摘　　要：针对简单遗传算法的早熟现象及不能处理带有复杂约束的优化问题,提出一种基于乘子法与伪并行遗传算法的改进遗传算法,并将其应用于斜齿轮减速器优化设计中。计算结果表明改进遗传算法,全局寻优能力强。In order to overcome premature phenomenon and disabled to optimization with complex constraints flaws of simple genetic algorithms, an improved genetic algorithm based on mutiplier method and pseudo - parallel genetic algorithms is presented in this paper and it＇s applied in optimization design of reducer. The experimental results indicate that the improved genetic has good performance on the global convergence.

关 键 词：乘子法 伪并行遗传算法 减速器优化设计 

分 类 号：TH132.41[机械工程—机械制造及自动化] TH131.417