用于某些阶段之间无先例的混合流程车间调度的自适应洗牌蛙跳算法

Zhenghui Yin;Deming Lei;Bo Yang
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引用次数: 0

摘要

混合流程车间调度问题(HFSP)已被广泛考虑,但对一些实际情况却很少研究。本研究解决了某些阶段之间没有优先级的 HFSP 问题,并开发了一种自适应洗牌蛙跳算法(ASFLA)来优化时间跨度。本文提出了一种新的解表示法和解码过程,并同时实现了自适应memeplex搜索和动态种群洗牌。还进行了许多计算实验。计算结果证明 ASFLA 的新策略是有效的,而且 ASFLA 在求解某些阶段之间没有优先级的 HFSP 时非常有竞争力。
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An Adaptive Shuffled Frog-Leaping Algorithm for Hybrid-Flow Shop Scheduling with No Precedence Between Some Stages
Hybrid flow shop scheduling problem (HFSP) has been extensively considered, however, some real-life conditions are seldom investigated. In this study, HFSP with no precedence between some stages is solved and an adaptive shuffled frog-leaping algorithm (ASFLA) is developed to optimize makespan. A new solution representation and a decoding procedure are presented, an adaptive memeplex search and dynamical population shuffling are implemented together. Many computational experiments are implemented. Computational results prove that the new strategies of ASFLA are effective and ASFLA is very competitive in solving HFSP with no precedence between some stages.
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