关键词: 模糊自适应遗传算法, 模糊控制器, 方差, 均值商, 开发, 探测

Abstract: Fuzzy Adaptive Genetic Algorithm（FAGA） is a new evolutionary algorithm which applies the Fuzzy Controller（FC） to the performance and parameter control of genetic algorithm.This paper proposes an Improved Fuzzy Adaptive Genetic Algorithm（IFAGA） with two inputs and two outputs on the basis of analyzing some existed FAGAs.On the one hand，chaos initialization is adopted in order to improve the quality of initial population.On the other hand，fitness deviation is considered as one of the input parameters of FC so as to measure the discreteness of population in space.and fitness average division is considered as the other input parameter of FC so as to measure the population diversity.Through this way，the probabilities of crossover and mutation can be adaptively adjusted during the evolutionary process.The simulation results have shown that IFAGA balances the exploration and exploitation better and obtains satisfying optimization results.

Key words: Fuzzy Adaptive Genetic Algorithm（FAGA）, Fuzzy Controller（FC）, deviation average division, exploration exploitation