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• W4362704161 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." @default.
• W4362704161 created "2023-04-09" @default.
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• W4362704161 date "2023-10-01" @default.
• W4362704161 modified "2023-10-03" @default.
• W4362704161 title "An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem" @default.
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• W4362704161 doi "https://doi.org/10.1016/j.ejor.2023.03.038" @default.
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