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Job-shop提前/拖期调度问题的研究
Earliness/Tardiness Job—shop Scheduling Problem
【摘要】 基于模糊控制和遗传算法 ,提出了求解 Job- shop提前 /拖期问题的联合算法。用遗传算法确定可行调度序列 ,然后用模糊控制器对开工时间加以调整。模糊控制的引入为有效地求解 Job- shop提前 /拖期调度问题提供了新方法。仿真实验证明了联合算法的有效性
【Abstract】 Based on genetic algorithm and fuzzy control theory, a united algorithm for solving E/T scheduling problem is presented. This genetic algorithm is used to determine feasible scheduling sequence and fuzzy controller is adopted to adjust the leading time. A new method is proposed to study scheduling problem. The numerical result obtained proves the correctness and effcience of the united algorithm.
【关键词】 提前/拖期调度;
作业车间;
遗传算法;
模糊控制;
联合算法;
【Key words】 earliness/tardiness scheduling; job-shop; genetic algorithms; fuzzy control; united algorithm;
【Key words】 earliness/tardiness scheduling; job-shop; genetic algorithms; fuzzy control; united algorithm;
- 【文献出处】 控制与决策 ,CONTROL AND DECISION , 编辑部邮箱 ,2000年03期
- 【分类号】F426.4
- 【被引频次】25
- 【下载频次】257