首页> 外文会议>Mexican International Conference on Artificial Intelligence(MICAI 2006); 20061113-17; Apizaco(MX) >Comparing Schedule Generation Schemes in Memetic Algorithms for the Job Shop Scheduling Problem with Sequence Dependent Setup Times
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Comparing Schedule Generation Schemes in Memetic Algorithms for the Job Shop Scheduling Problem with Sequence Dependent Setup Times

机译:比较具有序列依赖建立时间的Job Shop调度问题的Memetic算法中的计划生成方案

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摘要

The Job Shop Scheduling Problem with Sequence Dependent Setup Times (SDJSS) is an extension of the Job Shop Scheduling Problem (JSS) that has interested to researchers during the last years. In this paper we confront the SDJSS problem by means of a memetic algorithm. We study two schedule generation schemas that are extensions of the well known G&T algorithm for the JSS. We report results from an experimental study showing that the proposed approaches produce similar results and that both of them are more efficient than other genetic algorithm proposed in the literature.
机译:具有序列相关设置时间(SDJSS)的Job Shop调度问题是Job Shop调度问题(JSS)的扩展,在过去的几年中引起了研究人员的兴趣。在本文中,我们通过模因算法来解决SDJSS问题。我们研究了两个计划生成模式,它们是JSS的著名G&T算法的扩展。我们报告了一项实验研究的结果,结果表明所提出的方法产生了相似的结果,并且两者均比文献中提出的其他遗传算法更有效。

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