一种基于模糊规则遗传算法在车间布置中的应用

提出了一种将模糊控制规则引入遗传算法的方法．根据每一代种群中所有个体适应度值的变化，对交叉概率、变异概率和染色体交叉长度进行模糊调整，很好地抑制了遗传算法的早熟现象，提高了搜索的效率．归纳出模糊调整规则，并叙述了应用模糊规则对交叉概率、变异概率和染色体交叉长度进行调整的策略；给出了模糊控制器的设计．用该模糊遗传算法对制造系统中的车间布置问题进行了仿真．结果表明，该算法是一种效率很高的寻优方法．

A Fuzzy Rules Based Genetic Algorithm and Its Application in Facility Layout

According to the changing of the individuals' fitness in every generation the value of crossover probability, mutation probability and crossover length were adjusted. That can avoid early convergence, and improve the efficiency of genetic algorithm. The fuzzy control rules were proposed to adjust the value of crossover probability, mutation probability and crossover length. Also the fuzzy controller was provided. Finally, the simulation about the facility layout problem was given. Compared with the result of the traditional genetic algorithm, it shows that the new genetic algorithm integrated with fuzzy logic controller is excellent at searching efficiency.