Journal of System Simulation
Abstract
Abstract: For solving the problem of low productivity and low machine utilization caused by unreasonable assignment in tire vulcanizing process, an improved Discrete Harmony Search (Improved Harmony Search, IHS) Algorithm was proposed to optimize the maximum completion time of vulcanizing workshop scheduling. This algorithm has three processes including individual memory consideration process, disturbance search process and competitive selection mechanism. In the competitive selection mechanism, the corresponding individual in harmony memory or worst solution was replaced with new solution and harmony memory was updated. That strategy made each individual in memory more quickly fly to the optimal solution. The algorithm was simulated on MATLAB. The results show that IHS is superior to HS and PSO algorithm. This algorithm can efficiently solve the vulcanizing shop scheduling problem, and the analysis demonstrates the validity and feasibility of the algorithm.
Recommended Citation
Wu, Longcheng; Song, Huang; Yan, Wang; and Ji, Zhicheng
(2020)
"Improved Harmony Search Algorithm in Application of Vulcanization Workshop Scheduling,"
Journal of System Simulation: Vol. 29:
Iss.
3, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201703022
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss3/22
First Page
630
Revised Date
2016-09-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201703022
Last Page
638
CLC
TP391.9
Recommended Citation
Wu Longcheng, Huang Song, Wang Yan, Ji Zhicheng. Improved Harmony Search Algorithm in Application of Vulcanization Workshop Scheduling[J]. Journal of System Simulation, 2017, 29(3): 630-638.
DOI
10.16182/j.issn1004731x.joss.201703022
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