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Membership functions optimization of fuzzy control based on genetic algorithms

机译:基于遗传算法的模糊控制隶属函数优化

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The principle and implementation procedure of genetic algorithms were introduced and were applied to optimize the parameters of fuzzy controller which control the superheat of evaporator in refrigeration system. Simulation results of performanceof optimized fuzzy control rules, comparing with the primary rules, were obtained.
机译:介绍了遗传算法的原理和实施过程,并应用了对制冷系统中蒸发器过热控制的模糊控制器参数。获得了优化模糊控制规则的仿真结果,与主要规则相比。

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