摘要
遗传算法是应用比较广泛的一种随机优化算法 .而交叉和变异是两个关键操作 .本文针对遗传算法在应用过程中交叉概率和变异概率所存在的问题提出一种模糊自适应遗传算法 .新算法利用模糊系统技术来自适应估计交叉概率和变异概率 .最后 。
Genetic algorithm is a widely used stochastic optimization method. Crossover and mutation are two critical operators of the genetic algorithm. The paper presents a fuzzy adaptive genetic algorithm to solve the problem of crossover probability and mutation probability. The new algorithm adaptively estimates the crossover probability and mutation probability based on fuzzy system technology. Finally, the paper demonstrates its utility by the function optimization.
出处
《小型微型计算机系统》
CSCD
北大核心
2001年第9期1080-1082,共3页
Journal of Chinese Computer Systems
基金
湖北省教育厅重点科研项目
湖北大学重点基金资助
