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 of Intelligent Manufacturing – Springer Journals
Published: Jun 6, 2018
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