摘要
基本遗传算法给出了选取交叉率与变异率的推荐范围 ,两种概率的选取是相互独立的 .文中研究了交叉率与变异率之间的关系 ,得到了以提高遗传算法效率为目标 ,交叉率与变异率存在最优组合的结论 .应用表明 。
The recommended range of crossover rate and mutation rate is given in simple genetic algorithm, and the two rates for selection is not correlative. A conclusion is made from the relationship of that two rates studied in this article where there exists an optimal combination of that two rates for the aim of making genetic algorithm more effective. The applications show that conclusion is a guide to rational selection of crossover rate and mutation rate.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2003年第1期97-99,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
遗传算法
交叉率
变异率
genetic algorithms
crossover rate
mutation rate
