摘要
基于模糊控制器的自适应遗传算法,通过模糊控制器自适应地动态改变交叉率、变异率的值;从而使该算法最快达到全局最优解。其模糊控制器的设计及求取Pc(交叉率)、Pm(变异率)的步骤包括:输入、输出变量的选取,输入、输出语言值及隶属度函数的定义,模糊规则表的建立,模糊推理及解模糊。
Self-adapting genetic algorithm was based on the fuzzy controller. Fuzzy controller self-adaptively and dynamically changed the values of crossover rate and mutation rate; and the optimum solution of algorithm was achieved in the quickest way. The design of fuzzy controller and solutions of Pc （crossover rate） and Pm （mutation rate） could be realized as follows： choosing the variables of input and output; the language values of input and output and the definition of membership degree function; the establishment of fuzzy rule table; the fuzzy reasoning and solving fuzzy
出处
《兵工自动化》
2006年第2期66-67,共2页
Ordnance Industry Automation
关键词
遗传算法
模糊控制器
自适应
交叉率
变异率
Genetic algorithm
Fuzzy controller
Self-adaoting
Crossover rate
Mutation rate
