混沌遗传优化算法及其在机械优化设计中的应用  

Chaos-genetic optimal algorithm and application in mechanical optimal design

作　　者：郭惠昕[1] 车晓毅[1] 肖伟跃[1] 

机构地区：[1]湖南文理学院机械工程系,湖南常德415003

出　　处：《机械设计》2003年第10期23-25,共3页Journal of Machine Design

基　　金：湖南省自然科学基金资助项目(00JJY2050)

摘　　要：为了解决传统遗传算法的早熟问题,首次提出了混沌移民算子。利用混沌迭代的遍历性和内在随机性,通过混沌移民操作可克服传统遗传算法中的近亲繁殖问题,确保算法的全局收敛性。用MATLAB语言研制了混沌遗传优化算法软件;数值计算表明,该算法的全局收敛性好、算法稳健,适应于求解连续变量的无约束及有约束优化机械优化设计问题,具有工程实用价值。Chaos-migration operator was put forward for the first time in order to solve the problem of premature convergence of genetic algorithm.Utilizing the ergodicity and inherent randomness of chaos-iteration and by means of chaos-migratory operation the inbreeding problem can be overcame in genetic algorithm and ensured an overall convergence of the algorithm.The algorithmic seftware of chaos-genetic optimization has been developed by MATLAB language.Numeric calculation shows that this algorithm has good global convergence and running robustness and is suitable for solving mechanical optimization designing problems with constraints and no constraints of continuous variables and possesses valuation in engineering application.

关 键 词：遗传算法 混沌移民算子 机械设计 优化设计 数值计算 

分 类 号：TH122[机械工程—机械设计及理论]