基于Lorenz优势的元启发式算法求解序列依赖于设置时间的混合流水车间调度问题

Xiaohui Li, H. Chehade, F. Yalaoui, L. Amodeo
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引用次数: 7

摘要

研究了一类具有时序依赖的多目标混合流水车间调度问题。两个不同的目标被认为是同时优化的。我们的第一个贡献是为所研究的问题提出了一种特殊的编码。然后,我们的第二个贡献是在这里开发了一个新的基于Lorenz优势关系的元启发式(L-NSGA)来解决所研究的问题。目标是提高基于Pareto优势关系(NSGA-II)的原始元启发式算法的搜索能力。实验结果表明了L-NSGA算法解决这一问题的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lorenz dominance based metaheuristic to solve a hybrid flowshop scheduling problem with sequence dependent setup times
This paper deals with a multiobjective hybrid flowshop scheduling problem with sequence dependent setup times. Two different objectives are considered to be optimized at once. Our first contribution is to propose a special encoding for the studied problem. Then, our second contribution is that a new metaheuristic based on the Lorenz dominance relationship (L-NSGA) is developed here to solve the studied problem. The goal is to improve the search ability of the original metaheuristic which is based on the Pareto dominance relationship (NSGA-II). The experimental result shows the efficiency of L-NSGA to solve this problem.
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