An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem

Xuan He, Quan-Ke Pan, Liang Gao and Janis S. Neufeld

European Journal of Operational Research, 2023, vol. 310, issue 2, 597-610

Abstract: The flowshop group scheduling problem (FGSP) has become a hot research problem owing to its practical applications in modern industry in recent years. The FGSP can be regarded as a combination of two coupled sub-problems. One is the group scheduling sub-problem with sequence-dependent setup times. The other is the job scheduling sub-problem within each group. A mixed integer linear programming model is built for the FGSP with the makespan criterion. Based on the problem-specific knowledge, i.e., the sequence-dependent group setup times are greater than the processing time of jobs, and the number of machines is small, the group scheduling sub-problem is approximated into an asymmetric traveling salesman problem (ATSP). Then, a matheuristic algorithm (MA) is proposed by integrating a branch-and-cut algorithm and an iterated greedy (IG) algorithm, where the branch-and-cut algorithm is used to generate the optimal Hamiltonian circuit for sub-group sequences of a group sequence obtained by the IG. On 405 test instances, the proposed MA performs significantly better than several state-of-the-art algorithms in the literature.

Keywords: Scheduling; Asymmetric traveling salesman; Branch-and-cut; Iterated greedy; Matheuristic (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:310:y:2023:i:2:p:597-610

DOI: 10.1016/j.ejor.2023.03.038

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