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A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem
DOI:10.1016/j.cie.2011.02.013.png)
摘要
En 中文
This paper proposes a hybrid modified global-best harmony search (hmgHS) algorithm for solving the blocking permutation flow shop scheduling problem with the makespan criterion. First of all, the largest position value (LPV) rule is proposed to convert continuous harmony vectors into job permutations. Second, an efficient initialization scheme based on the Nawaz-Enscore-Ham (NEH) heuristic is presented to construct the initial harmony memory with a certain level of quality and diversity. Third, harmony search is employed to evolve harmony vectors in the harmony memory to perform exploration, whereas a local search algorithm based on the insert neighborhood is embedded to enhance the local exploitation ability. Moreover, a new pitch adjustment rule is developed to well inherit good structures from the global-best harmony vector. Computational simulations and comparisons demonstrated the superiority of the proposed hybrid harmony search algorithm in terms of solution quality. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Metaheuristics
Blocking flow shop
Harmony search
Tabu Search
NEH heuristic
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期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
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Some heuristic algorithms for total tardiness minimization in a flowshop with blocking带有阻塞的流水车间中总迟到最小化的一些启发式算法
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