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提出一种带有混合变长编码和模糊变异算子的新型模糊遗传算法，并将其应用到模糊系统的优化设计中．仿真结果表明，这种方法具有即使系统缺乏任何先验知识，也能通过评价学习、遗传优化获得满足系统动态性能的优化控制规则的特点．
A new fuzzy genetic algorithm with mixed variable length coding and fuzzy mutation operator is proposed and applied to the optimal design of fuzzy system. The simulation results show that this method can obtain the optimal control rules that meet the system dynamic performance through evaluation learning and genetic optimization even if the system lacks any prior knowledge.