求解分布式置换流水车间调度问题的离散类电磁机制算法

Hongcheng Liu, Liang Gao
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引用次数: 46

摘要

分布式置换流水车间调度问题(DPFSP)是近年来在车间调度领域提出的np困难问题。DPFSP解决方案的精确算法在计算上可能非常昂贵。本文提出将类电磁机制(EM)算法作为DPFSP问题的启发式求解方法。为了适应DPFSP的离散域,对原有的EM算法进行了修改,包括重新定义距离和运动以及电荷和力的计算,为了提高算法的性能,设计了一种采用关键工厂概念的VNS局部搜索机制。实验结果表明,该算法优于原有的电磁算法。Naderi的DPFSP基准测试套件已经找到了新的解决方案,该解决方案是根据尾猪油实例改编的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Discrete Electromagnetism-Like Mechanism Algorithm for Solving Distributed Permutation Flowshop Scheduling Problem
A distributed permutation flow shop scheduling problem (DPFSP) is an NP-hard problem recently put forward in shop scheduling sphere. Exact algorithms for a DPFSP’s solution can be extremely computationally costly. This paper proposes to apply an electromagnetism-like mechanism (EM) algorithm as a heuristic solution method to a DPFSP. To fit into the discrete domain of a DPFSP, modifications to the original EM algorithm, including redefinition of distance and movement and of charge and force calculation, have been made, to improve the performance of the proposed algorithm, a VNS local search mechanism employing the concept of the critical factory has been devised. The experimental results show the superiority of the proposed algorithm over the original EM algorithm. New best known solutions have been found to the Naderi’s DPFSP benchmark suite adapted from Tail lard instances.
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