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遗传算法在模糊控制规则优化中的实现
引用本文:周小英,王华,姚伯威.遗传算法在模糊控制规则优化中的实现[J].电子科技大学学报(社会科学版),2000(2).
作者姓名:周小英  王华  姚伯威
作者单位:电子科技大学电子机械系!成都610054
摘    要:介绍了遗传算法的基本原理及实现步骤,结合气调温度模糊控制器的实例,讨论了其在模糊控制规则优化中的实现,即遗传编码、交叉运算和变异运算。该优化算法为模糊控制器的设计提供了一个正规的可遵循的方法。

关 键 词:遗传算法  模糊控制  遗传编码  交叉  变异

Realization of Genetic Algorithm in Optimization of Fuzzy-control Rules
Zhou Xiaoying Wang Hua Yao Bowei.Realization of Genetic Algorithm in Optimization of Fuzzy-control Rules[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2000(2).
Authors:Zhou Xiaoying Wang Hua Yao Bowei
Abstract:This paper introduces the basic theory and realization of genetic algorithm, and discussed their application in the optimization of the fuzzy-control rules. Air conditioning temperature fuzzy- controller is also introduced as an example. The genetic coding, crossover operation and mutation operation are studied in detail. This optimizing algorithm provides a regular method for the design of the fuzzy- controller.
Keywords:genetic algorithm  fuzzy control  genetic coding  crossover operation  mutation operation
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