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    题名: A new heuristic based on local best solution for permutation flow shop scheduling
    作者: 陳春龍
    Chen, Chun-Lung;Tzeng, Yeu-Ruey;Chen, Chuen-Lung
    贡献者: 資管系
    关键词: Scheduling;Heuristic;Permutation flow shop scheduling;Makespan
    日期: 2015-04
    上传时间: 2015-02-12 14:20:22 (UTC+8)
    摘要: This paper proposes a population-based heuristic based on the local best solution (HLBS) for the minimization of makespan in permutation flow shop scheduling problems. The proposed heuristic operates through three mechanisms: (i) it introduces a new method to produce a trace-model for guiding the search, (ii) it modifies a filter strategy to filter the solution regions that have been reviewed and guide the search to new solution regions in order to keep the search from trapping into local optima, and (iii) it initiates a new jump strategy to help the search escape if the search is trapped at a local optimum. Computational experiments on the well-known Taillard`s benchmark data sets demonstrate that the proposed algorithm generated high quality solutions when compared to existing population-based search algorithms such as genetic algorithms, ant colony optimization, and particle swarm optimization.
    關聯: Applied Soft Computing,29,75-81
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1016/j.asoc.2014.12.011
    DOI: 10.1016/j.asoc.2014.12.011
    显示于类别:[資訊管理學系] 期刊論文

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