均匀试验设计在遗传算法中的应用  

Applying Uniform Design to Genetic Algorithm

作　　者：邹亮[1] 汪国强[1] 

机构地区：[1]华南理工大学应用数学系,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2003年第5期90-92,共3页Journal of South China University of Technology(Natural Science Edition)

摘　　要：介绍了在遗传算法中运用均匀设计产生初始种群的方法 ,指出由于遗传算法的交叉机制是完全依赖于初始种群的 ,所以初始种群的多样性对于遗传算法的收敛性是至关重要的 .A method of applying uniform design to genetic algorithm for producing the initial population is introduced in this paper. The paper also indicated that because the crossover of GA depended on the initial population of GA, the diversity of the initial population is very important to the convergence of GA. Using the validating method that brought forward by De Jong , the paper validated that the method of applying uniform design to genetic algorithm could boost up the convergence of GA.

关 键 词：遗传算法 均匀设计 多样性 初始种群 交叉机制 

分 类 号：O242.1[理学—计算数学]