In the first step, the antecedents of fuzzy classification system and input variables are coded into a binary string and treated as an individual in genetic algorithm.
第一阶段，将模糊分类系统的前件和输入变量编码为一个个体，实现了输入变量论域的动态划分和输入变量选择。
A strategy based on genetic algorithms to design a fuzzy controller of a multi-input-multi-output (MIMO) structure-MR dampers system was presented here.
在这里的战略，提出了基于遗传算法设计模糊控制器的多输入多输出(MIMO)结构的磁流变阻尼器系统。
A strategy based on genetic algorithms to design a fuzzy controller of a multi-input-multi-output (MIMO) structure-MR dampers system was presented here.
在这里的战略，提出了基于遗传算法设计模糊控制器的多输入多输出(MIMO)结构的磁流变阻尼器系统。
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