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 resol
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 resol
文摘: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.