期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 127, 期 -, 页码 1089-1100出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2018.11.046
关键词
Multi-verse optimization; Fuzzy flexible job-shop scheduling; Hybrid algorithm
资金
- National Natural Science Foundation of China [61503331, 71671160, 61503330]
- Zhejiang Provincial Natural Science Foundation of China [LY19F030007, LY19G010004]
- Zhejiang Key Laboratory of Solid State Drive and Data Security [2015E10003]
In this paper, a novel algorithm called hybrid multi-verse optimization (HMVO) is proposed to address the fuzzy flexible job-shop scheduling problem (FFJSP). Firstly, path relinking technique is introduced to mimic the process of swapping objects through the black/white holes. Secondly, a mixed phase which integrates insertion-based heuristic and path relinking technique is incorporated into the algorithm to enlarge the search space. Thirdly, pairwise-based local search is proposed as a hybrid strategy to improve the solution quality. Finally, extensive experiments are conducted on three benchmark sets to investigate the performance of the proposed HMVO. Computational results and comparisons with some existing meta-heuristics demonstrate the competitive efficiency and effectiveness of the proposed algorithm.
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