Due to the shortcomings of fault location system of distribution networks and the problems of genetic algo -rithm which is prone to premature convergence and its convergence speed is slow , this paper proposes a fuzzy adaptive simulated annealing genetic algorithm ( FASAGA) combining with fuzzy inference and adaptive simulated annealing genetic algorithm .This algorithm improves fault tolerance of the fitness function , adopts the adaptive strategy and the optimal individual reserve strategy in genetic selection , calculates fuzzy adaptive crossover operator and fuzzy adaptive mutation operator combining with fuzzy inference and adaptive strategy , and adopts simulated annealing algorithm to improve convergence speed and local search ability .The accuracy , speediness and high tolerant performance of this algorithm applied to the fault location of distribution networks are verified by simulation results .%对于配电网故障定位系统的不足与遗传算法存在易早熟、收敛速度慢等问题，结合模糊推理和自适应模拟退火遗传算法，提出一种模糊自适应模拟退火遗传算法（ FASAGA ）。该算法对评价函数做了容错性改进，在遗传选择时采用自适应机制与最佳个体保留策略，并结合模糊推理与自适应机制求取模糊自适应交叉算子、模糊自适应变异算子，引入模拟退火算法提高收敛速度与局部搜索能力。仿真结果说明该算法应用在配电网故障定位中的准确性、快速性与高容错性。
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