Journal of System Simulation
Abstract
Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote the qualities and diversities of the initial populations. Simulation results on the benchmark instances shows the effectiveness and robustness of the DKH.
Recommended Citation
Liu, Changping; Jian, Zhenfu; and Fu, Wenhan
(2020)
"A Discrete Krill Herd Algorithm for the No-wait Flow Shop Scheduling Problem,"
Journal of System Simulation: Vol. 32:
Iss.
6, Article 8.
DOI: 10.16182/j.issn1004731x.joss.18-0762
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss6/8
First Page
1051
Revised Date
2019-05-18
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0762
Last Page
1059
CLC
TP301.6;N945
Recommended Citation
Liu Changping, Jian Zhenfu, Fu Wenhan. A Discrete Krill Herd Algorithm for the No-wait Flow Shop Scheduling Problem[J]. Journal of System Simulation, 2020, 32(6): 1051-1059.
DOI
10.16182/j.issn1004731x.joss.18-0762
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