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- W2896514528 abstract "The distributed flowshop scheduling problem (DFSP) has attracted extensive and increasing attention during recent years. In this paper, a two-stage memetic algorithm (TSMA) is proposed to minimize the makespan of the distributed no-idle permutation flowshop scheduling problem (DNIPFSP). According to the no-idle characteristic of the DNIPFSP, a hybrid method is designed to generate the initial population. To balance the exploration and exploitation, two search stages are specially designed, and in each stage multiple problem-specific operators are utilized to adjust factory assignment and job sequences. In the first stage, different search operators are utilized for different solutions classified by different workload discrepancy of factories. In the second stage, the elite individual will guide the search direction to enhance the exploitation. Moreover, the jumping mechanism of simulated annealing is introduced to prevent from the premature convergence. In addition, two different local intensification operators with the speed-up strategy are designed. Numerical tests with 420 small-scale and 660 large-scale benchmark instances are carried out. The comparative results with other algorithms demonstrate the effectiveness of the proposed TSMA in solving the DNIPFSP." @default.
- W2896514528 created "2018-10-26" @default.
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- W2896514528 date "2018-07-01" @default.
- W2896514528 modified "2023-09-27" @default.
- W2896514528 title "A Two-Stage Memetic Algorithm for Distributed No-Idle Permutation Flowshop Scheduling Problem" @default.
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- W2896514528 doi "https://doi.org/10.23919/chicc.2018.8483752" @default.
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