【摘要】 遗传算法是将问题的求解用染色体的形式表示 ,在其复制、交叉、变异的进化过程中收敛为一个最适应环境的染色体 ,即为问题的解 .用遗传算法对模糊控制中的隶属度函数进行编码 ,确定适应度函数 ,作遗传运算与微量调整 ,可实现对隶属度函数及控制规则的优化 ,改善模糊控制器的性能 .更多还原

【Abstract】 A problem resolution can be represented by a series of chromosomes in genetic algorithm(GA).In the evolving process of reproduction,crossoves and mutation to chromosomes,a chromosome which is fitter to the enviroment can be obtained as the resolution of the problem.The membership functions and control rules are optimized by using GA,the design and adjustment of fuzzy controller are also improved.更多还原