遗传算法的寻优能力和收敛速度与许多因素有关,其间的关系复杂且难以精确描述。模糊理论能很好地描述这种特性。本文分析了影响遗传算法寻优能力和收敛速度的多种因素,运用模糊理论指导遗传算法中交叉和变异概率的自适应调整,以及改善局部寻优能力。实验结果表明,此法是有效可行的。 Genetic algorithm optimization ability and convergence speed and many factors related to the relationship between the complex and difficult to accurately describe. Fuzzy theory can describe this feature well. This paper analyzes many factors that affect the searching ability and convergence speed of genetic algorithm. It uses fuzzy theory to guide the adaptive adjustment of crossover and mutation probability in genetic algorithm, and improves the local optimization ability. Experimental results show that this method is effective and feasible.