遗传算法被认为是解决全球电力系统问题的有效工具。但使用它来得到满意的答案却有着耗时过多的缺点。本文的目的在于引进模糊逻辑控制器来加快交叉与突变过程的收敛速度。这种方法已经过电力系统经济调度问题的测试，并且已被证明比随机方法更胜一筹。 Genetic algorithms are considered as effective tools to solve global power system problems. But using it to get a satisfactory answer has the drawback of being too time consuming. The purpose of this paper is to introduce a fuzzy logic controller to speed up the convergence of the crossover and mutation processes. This method has been tested for the power system economic dispatch problem and has proved to be superior to the stochastic approach.