摘要: 提出了新的遗传算法控制参数优化策略,包括变异率、交叉率调整策略,动态收敛准则以及二进制编码下最优种群规模的确定方法。研究结果可用于提高GA运行效率及克服早熟现象。
关键词:
遗传算法,
控制参数,
变异率,
交叉率,
种群规模
Abstract: In this paper, the new methods of optimizing genetic algorithm control parameters are presented,including the method of adjusting crossover probability and mutation probability , the dynamic convergence rule and the method of determining the optimal population size. All the methods can be applied to enhance genetic algorithm running efficiency and preventing premature convergence.
中图分类号:
汪民乐,高晓光,汪德武. 遗传算法控制参数优化策略研究[J]. , 2003, 29(05): 59-60.
WANG Minle1,2, GAO Xiaoguang2, WANG Dewu3. Optimization of Genetic Algorithm Control Parameters[J]. , 2003, 29(05): 59-60.