A hybrid algorithm to solve the stochastic flow shop scheduling problems with machine break down

Q3 Business, Management and Accounting International Journal of Enterprise Network Management Pub Date : 2019-06-27 DOI:10.1504/IJENM.2019.10022254
M. K. Marichelvam, M. Geetha
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引用次数: 3

Abstract

A flow shop scheduling problem with uncertain processing times and machine break down is considered in this paper. The objective is to minimise the maximum completion time (makespan). As the problem is non-deterministic polynomial-time hard (NP-hard), a hybrid algorithm (HA) is proposed to solve the problem. The firefly algorithm (FA) is hybridised with the variable neighbourhood search (VNS) algorithm in the proposed HA. Extensive computational experiments are carried out with random problem instances to validate the performance of the proposed algorithm.
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一种求解机器故障随机流水车间调度问题的混合算法
考虑了一个具有不确定加工时间和机器故障的流水车间调度问题。目标是最大限度地缩短完工时间(完工时间)。由于该问题是非确定性多项式时间困难(NP困难)问题,提出了一种混合算法(HA)来解决该问题。在所提出的HA中,萤火虫算法(FA)与可变邻域搜索(VNS)算法相结合。通过随机问题实例进行了大量的计算实验,验证了该算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Enterprise Network Management
International Journal of Enterprise Network Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
0.90
自引率
0.00%
发文量
28
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