模糊Flow-shop问题及其遗传优化

FUZZY FLOW SHOP PROBLEMS AND ITS' GENETIC OPTIMAL

摘要: 研究模糊生产环境下的Flow-shop调度问题．针对实际生产中加工时间的不确定性，应用模糊加工时间参数替代传统的清晰参数表示方法，引入了一种新的模糊数比较方法--面积补偿法，构造了一种解模糊Flow-shop问题的有效遗传算法．最后给出计算实例及仿真结果．

Abstract: This paper examines fuzzy flow shop scheduling problems with imprecision durations.Instead of exact number,fuzzy numbers are ideally suited to represent these duartions.A new comparison method for fuzzy number is introduced,and a genetic algorithm is constructed for fuzzy flow shop optimization.In the end,the simulated results are shown.