A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times

This paper considers n-job m-machines blocking flow-shop scheduling problem (BFSP) with sequence-dependent setup times (SDST), which has important ramifications in the modern industry. To solve this problem, two efficient heuristics are firstly presented according to the property of the problem. The...

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Published inSwarm and evolutionary computation Vol. 40; pp. 53 - 75
Main Authors Shao, Zhongshi, Pi, Dechang, Shao, Weishi
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2018
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Online AccessGet full text
ISSN2210-6502
DOI10.1016/j.swevo.2017.12.005

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Abstract This paper considers n-job m-machines blocking flow-shop scheduling problem (BFSP) with sequence-dependent setup times (SDST), which has important ramifications in the modern industry. To solve this problem, two efficient heuristics are firstly presented according to the property of the problem. Then, a novel discrete water wave optimization (DWWO) algorithm is proposed. In the proposed DWWO, an initial population with high quality and diversity is constructed based on the presented heuristic and a perturbation procedure. A two-stage propagation is designed to direct the algorithm towards the good solutions. The path relinking technique is employed in refraction phase to help individuals escape from local optima. A variable neighborhood search is developed and embedded in breaking phase to enhance local exploitation capability. A new population updating scheme is applied to accelerate the convergence speed. Moreover, a speedup method is presented to reduce the computational efforts needed for evaluating insertion neighborhood. Finally, extensive numerical tests are carried out, and the results compared to some state-of-the-art metaheuristics demonstrate the effectiveness of the proposed DWWO in solving BFSP with SDST. •Two new heuristics are presented for BFSP/SDST.•An attempt is made to solve the NP-hard type combinatorial problems by using wave water optimization algorithm.•A speedup method is designed for evaluating insertion neighborhood structure.•Computational and statistical analyses show the superiority of the presented approaches.
AbstractList This paper considers n-job m-machines blocking flow-shop scheduling problem (BFSP) with sequence-dependent setup times (SDST), which has important ramifications in the modern industry. To solve this problem, two efficient heuristics are firstly presented according to the property of the problem. Then, a novel discrete water wave optimization (DWWO) algorithm is proposed. In the proposed DWWO, an initial population with high quality and diversity is constructed based on the presented heuristic and a perturbation procedure. A two-stage propagation is designed to direct the algorithm towards the good solutions. The path relinking technique is employed in refraction phase to help individuals escape from local optima. A variable neighborhood search is developed and embedded in breaking phase to enhance local exploitation capability. A new population updating scheme is applied to accelerate the convergence speed. Moreover, a speedup method is presented to reduce the computational efforts needed for evaluating insertion neighborhood. Finally, extensive numerical tests are carried out, and the results compared to some state-of-the-art metaheuristics demonstrate the effectiveness of the proposed DWWO in solving BFSP with SDST. •Two new heuristics are presented for BFSP/SDST.•An attempt is made to solve the NP-hard type combinatorial problems by using wave water optimization algorithm.•A speedup method is designed for evaluating insertion neighborhood structure.•Computational and statistical analyses show the superiority of the presented approaches.
Author Shao, Zhongshi
Shao, Weishi
Pi, Dechang
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Snippet This paper considers n-job m-machines blocking flow-shop scheduling problem (BFSP) with sequence-dependent setup times (SDST), which has important...
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SubjectTerms Flow shop with blocking
Heuristic
Metaheuristic
Scheduling
Setup times
Title A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times
URI https://dx.doi.org/10.1016/j.swevo.2017.12.005
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