遗传算法和模糊控制的融合研究与设计

Study and Design on the Fusion of Genetic Algorithms and Fuzzy Control

将遗传算法与模糊控制相结合 ,能达到取长补短的作用。一方面 ,模糊控制能够表达非线性和模糊性的系统知识 ;另一方面 ,通过遗传算法所拥有的高度并行、随机、全局搜索能力 ,使控制系统具有了学习能力。提出了先使用模糊逻辑的思想进行交叉概率和变异概率的整定 ,再利用模糊遗传算法对模糊子集进行划分 ,可获得一个基于一定性能指标的次优或最优模糊控制器。又以二阶系统为例进行了计算机仿真 。

To combine fuzzy logic control with genetic algorithm can offset each other's weakness. On the one hand,fuzzy control can express the systemic information with non linear and fuzzy knowledge,on the other hand,genetic algorithm of high parallelity,random global search can improve the systemic ability of self study.this paper proposes that fuzzy genetic algorithm is used to optimize the fuzzy set partitions and the fuzzy logic control method is used to adjust the probabilities of crossover and mutation. It can be obtained to the design of optimal or sub optimal fuzzy logic controller. A computer simulation with second order system model is conducted. The result shows this method is effective.