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New efficient constructive heuristics for the hybrid flowshop to minimise makespan: A computational evaluation of heuristics

机译:混合流水车间的新有效构造启发式算法可最大程度地缩短制造时间:启发式算法的计算评估

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This paper addresses the hybrid flow shop scheduling problem to minimise makespan, a well-known scheduling problem for which many constructive heuristics have been proposed in the literature. Nevertheless, the state of the art is not clear due to partial or non homogeneous comparisons. In this paper, we review these heuristics and perform a comprehensive computational evaluation to determine which are the most efficient ones. A total of 20 heuristics are implemented and compared in this study. In addition, we propose four new heuristics for the problem. Firstly, two memory-based constructive heuristics are proposed, where a sequence is constructed by inserting jobs one by one in a partial sequence. The most promising insertions tested are kept in a list. However, in contrast to the Tabu search, these insertions are repeated in future iterations instead of forbidding them. Secondly, we propose two constructive heuristics based on Johnson's algorithm for the permutation flowshop scheduling problem. The computational results carried out on an extensive testbed show that the new proposals outperform the existing heuristics. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文解决了混合流水车间调度问题,以最大程度地减少制造期,这是一个众所周知的调度问题,文献中对此提出了许多建设性的启发式方法。然而,由于部分或不均匀的比较,现有技术尚不清楚。在本文中,我们回顾了这些启发式方法,并进行了全面的计算评估,以确定哪些是最有效的方法。本研究共实施和比较了20种启发式方法。此外,针对该问题,我们提出了四种新的启发式方法。首先,提出了两种基于记忆的构造试探法,其中通过在部分序列中一个接一个地插入作业来构造一个序列。测试中最有前途的插入内容保留在列表中。但是,与禁忌搜索相反,这些插入在以后的迭代中会重复进行,而不是禁止它们。其次,针对置换流水车间调度问题,提出了两种基于约翰逊算法的构造启发式算法。在广泛的测试平台上进行的计算结果表明,新建议优于现有的启发式方法。 (C)2018 Elsevier Ltd.保留所有权利。

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