Research on job-shop scheduling problem based on Self-Adaptation Genetic Algorithm

Xie Hongyan, Huo Hong
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引用次数: 2

Abstract

The multi-objective optimization problem in flexible job-shop scheduling was discussed. According to the characteristics of flexible job-shop scheduling, a new self-adaptive genetic algorithm was proposed, and the model of Multi-Objective Flexible Job-shop Scheduling (MOFJS) was set up. At last, by programming with Matlab and Visual C++, the algorithm was applied to solve the MOFJS problem in Chinese automobile manufacturing enterprises, and the optimization scheduling solution was obtained. The simulation results show that the proposed algorithm is feasible and effective for MOFJS.
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基于自适应遗传算法的车间作业调度问题研究
讨论了柔性作业车间调度中的多目标优化问题。针对柔性作业车间调度的特点,提出了一种新的自适应遗传算法,建立了多目标柔性作业车间调度模型。最后,通过Matlab和Visual c++编程,将该算法应用于我国汽车制造企业的MOFJS问题,得到了优化调度解。仿真结果表明,该算法对MOFJS是可行和有效的。
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