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Solving non-permutation flowshop scheduling problems by an effective iterated greedy heuristic

机译:通过有效的迭代贪婪启发式求解非置换Flowshop调度问题

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摘要

Flowshop scheduling problems have received considerable research attention over the last five decades. This study proposes an iterated greedy heuristic for non-permutation flowshop scheduling problems. To validate and verify the proposed heuristic, computational experiments have been conducted on a well-known benchmark problem set, and the results are compared with 20 simple constructive heuristics and a state-of-the-art meta-heuristic performed on the same benchmark instances. In terms of both solution quality and computational expense, this study successfully develops an efficient and effective approach for non-permutation flowshop scheduling problems.
机译:在过去的五十年中,Flowshop调度问题已引起了相当多的研究关注。这项研究提出了针对非置换流水车间调度问题的迭代贪婪启发式算法。为了验证和验证所提出的启发式算法,已对一个著名的基准问题集进行了计算实验,并将结果与​​在相同基准实例上执行的20种简单的构造性启发式算法和最新的元启发式算法进行了比较。在解决方案质量和计算费用方面,本研究成功开发了一种有效且有效的方法来解决非置换流水车间调度问题。

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