基于FGA的模糊规则自动生成

Automatic Fuzzy Rules Generation Based on FGA

解决遗传算法优化自动生成的模糊规则时,可能存在局部解以及规则种群的收敛速率过慢等问题,该文提出了一种基于模糊遗传优化的模糊规则自动生成算法。该算法基于模糊逻辑,利用规则种群的收敛速率和多样性来自适应调整遗传算法的交叉率和变异率,从而实现遗传模糊系统的控制规则的自动生成。给出了控制系统的性能指标,以及如何设定遗传算法的适应度函数。最后通过仿真试验,验证了算法的可行性和有效性。

To solve the problem which is hard to avoid the local optimal solution or slower population diversity when using genetic algorithm to generate the fuzzy rules,this paper proposes an automatic rule generation using fuzzy-based genetic algorithm(FGA).The algorithm is used the rule population diversity and evolutionary speed to automatically adjust the crossover rate and mutation rate based on fuzzy logic,which realizes the automatic control rules generation of genetic fuzzy system.The performance index of con...