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THE HYBRID APPROACH OF LCO AND SA TO SOLVE JOB-SHOP SCHEDULING PROBLEM

机译:LCO和SA的混合方法解决作业计划调度问题。

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摘要

A Job-shop Scheduling Problem (JSP) is one of the combinatorial optimization problems. JSP appears as a basic scheduling problem in many situations of a manufacturing system and many methods for JSP have been invented. This study examines two effective methods, SA and LCO, for JSP and propose a hybrid method based on them. As a result of the experiments, the proposed method can find a good solution with short computational time. And the proposed method can hold the variance of the solutions less than the fundamental methods. Summarizing this study, the proposed method can find a good solution efficiently and stably.
机译:车间调度问题(JSP)是组合优化问题之一。在制造系统的许多情况下,JSP似乎是一个基本的调度问题,并且已经发明了许多用于JSP的方法。本研究探讨了JSP的两种有效方法SA和LCO,并提出了基于它们的混合方法。实验结果表明,该方法可以在较短的计算时间内找到较好的解决方案。并且所提出的方法与基本方法相比,可以保持解的方差。总结本研究,提出的方法可以有效,稳定地找到一个好的解决方案。

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  • 来源
  • 会议地点 St. Louis MO(US)
  • 作者单位

    Autonomous Systems Engineering Laboratory, Faculty of Engineering, Hokkaido University, Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido, 060-0814, Japan;

    Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, 060-0814, Japan;

    Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, 060-0814, Japan;

    Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, 060-0814, Japan;

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  • 正文语种 eng
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