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1.

A novel hybrid algorithm of cooperative variable neighborhood search and constraint programming for flexible job shop scheduling problem with sequence dependent setup time Pages 21-36 Right click to download the paper Download PDF

Authors: Yajie Wu, Shiming Yang, Leilei Meng, Weiyao Cheng, Biao Zhang, Peng Dua

DOI: 10.5267/j.ijiec.2024.11.003

Keywords: Flexible job shop scheduling problem, Sequence dependent setup time, Constraint programming, Variable neighborhood search

Abstract:
This study focuses on the flexible job shop scheduling problem with sequence-dependent setup times (FJSP-SDST), and the goal is minimizing the makespan. To solve FJSP-SDST, first, we develop a constraint programming (CP) model to obtain optimal solutions. Due to the NP-hardness of FJSP-SDST, a CP assisted meta-heuristic algorithm (C-VNS-CP) is designed to make use of the advantages of both CP model and cooperative variable neighborhood search (C-VNS). The C-VNS-CP algorithm consists of two stages. The first stage involves C-VNS, for which eight neighborhood structures are defined. In the second stage, CP is used to further optimize the good solution obtained from C-VNS. In order to prove the efficiency of the C-VNS algorithm, CP model, and C-VNS-CP algorithm, experiments of 20 instances are conducted.
Details
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Journal: IJIEC | Year: 2025 | Volume: 16 | Issue: 1 | Views: 1069 | Reviews: 0

 

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