遗传算法在模糊控制规则优化中的实现
Realization of Genetic Algorithm in Optimization of Fuzzy-control Rules
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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。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.