一种新的混合启发式排序流水车间总流水时间最小化算法

W. Phaphan
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引用次数: 0

摘要

研究了一个以总流时间最小化为目标的n个作业、m台机器的置换流水车间调度问题。我们提出了Woo和Yim启发式和Laha和Sarin启发式的一个新的改进版本,命名为“WYLS启发式”。进行了大量的计算实验来检查所提出的启发式的性能。统计显著表示LS、proposed、FL、WY和NEH启发式的效果相当,而Gupta启发式的效果最差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Hybrid Heuristic for Minimizing Total Flow Time in Permutation Flow Shop
The paper addresses an n-job, m-machinery permutation flow shop scheduling problem with minimization of the total flow time objective. We present a new modified version of the heuristic of Woo and Yim and the heuristic of Laha and Sarin, named "WYLS heuristic". Extensive computational experimentation were conducted to examine the performance of the proposed heuristic. Statistically significant represents the LS, proposed, FL, WY and NEH heuristics have equivalent performance, while Gupta's heuristic is the least effective.
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