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Efficient iterated greedy algorithm to minimize makespan for the no-wait flowshop with sequence dependent setup times

机译:高效的迭代贪心算法可最大程度地减少无等待流程车间的制造时间,并具有与序列相关的设置时间

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摘要

In this paper, an efficient iterated greedy algorithm is proposed for the SDST (Sequence Dependent Setup Time) no-wait flowshop with makespan minimization, which is known to be NP-hard. By introducing effective operators, the Iterated Greedy algorithm is adapted to the considered problem. To improve the quality of solutions, Local Search is incorporated into the modified Iterated Greedy algorithm. The proposed algorithm is compared with BIH, GAPH1-GAPH4, and IG_Ruiz on Taillard's instances of ssd10, ssd50, ssd100, and ssdl25. Experimental results demonstrate that the proposal outperforms BIH and GAPH1-GAPH4. As well, the proposal is more effective than IG_Ruiz under the same computation-time criterion.
机译:在本文中,提出了一种有效的迭代贪婪算法,该算法具有使makepan最小化的SDST(依序建立时间)无等待流程,这是NP难的。通过引入有效的算子,迭代贪婪算法适用于所考虑的问题。为了提高解决方案的质量,将本地搜索合并到了改进的迭代贪婪算法中。在Taillard的ssd10,ssd50,ssd100和ssdl25实例上,将所提出的算法与BIH,GAPH1-GAPH4和IG_Ruiz进行了比较。实验结果表明,该建议优于BIH和GAPH1-GAPH4。同样,在相同的计算时间标准下,该建议比IG_Ruiz更有效。

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