An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs

An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs The deterioration effect in flowshop scheduling has gained a growing concern from the community of operational research in recent years. However, all of existing studies focus on two- or three-machine flow shops. In this paper, a m-machine (m > 3) flowshop scheduling problem (FSSP) with deteriorating jobs is investigated and a novel metaheuristic algorithm called multi-verse optimizer (MVO) is employed to solve it. The MVO algorithm can accomplish the optimization process via exchanging objects of universes through white/black hole and wormhole tunnels. In the novel MVO algorithm, a new elitist selection scheme is designed to construct the effective white/black hole tunnels, whereas two different local search operators are hybridized and embedded to further enhance the exploitation capability. Experimental results indicate that the proposed algorithm can achieve the satisfactory performance in solving the investigated FSSP with deteriorating jobs. Keywords Scheduling · Flowshop scheduling · Deterioration · Metaheuristic algorithm · Multi-verse optimizer Introduction trial process. Similarly, the process efficiency of jobs may decrease over time due to the fatigue effect in the clothing Over the past decades, scheduling problems in manufactur- industrial process. In manufacturing systems, it means that ing systems have gained much attention from academic and the deterioration occurs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Intelligent Manufacturing Springer Journals

An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Business and Management; Production; Manufacturing, Machines, Tools; Control, Robotics, Mechatronics
ISSN
0956-5515
eISSN
1572-8145
D.O.I.
10.1007/s10845-018-1425-8
Publisher site
See Article on Publisher Site

Abstract

The deterioration effect in flowshop scheduling has gained a growing concern from the community of operational research in recent years. However, all of existing studies focus on two- or three-machine flow shops. In this paper, a m-machine (m > 3) flowshop scheduling problem (FSSP) with deteriorating jobs is investigated and a novel metaheuristic algorithm called multi-verse optimizer (MVO) is employed to solve it. The MVO algorithm can accomplish the optimization process via exchanging objects of universes through white/black hole and wormhole tunnels. In the novel MVO algorithm, a new elitist selection scheme is designed to construct the effective white/black hole tunnels, whereas two different local search operators are hybridized and embedded to further enhance the exploitation capability. Experimental results indicate that the proposed algorithm can achieve the satisfactory performance in solving the investigated FSSP with deteriorating jobs. Keywords Scheduling · Flowshop scheduling · Deterioration · Metaheuristic algorithm · Multi-verse optimizer Introduction trial process. Similarly, the process efficiency of jobs may decrease over time due to the fatigue effect in the clothing Over the past decades, scheduling problems in manufactur- industrial process. In manufacturing systems, it means that ing systems have gained much attention from academic and the deterioration occurs.

Journal

Journal of Intelligent ManufacturingSpringer Journals

Published: Jun 6, 2018

References

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