Journal of System Simulation
Abstract
Abstract: Based on the operating characteristics of twin 40 ft yard crane, the scheduling models of the single-container yard crane, twin 40 ft yard crane with single-lift structure and twin 40 ft yard crane with twin-lift structure in the mixed container area are established respectively to minimize the operating time. simulate anneal genetic algorithm(SAGA) hybrid algorithm is used in the yard crane scheduling model to optimize the yard crane equipment configuration and scheduling strategy, shorten the average loading and unloading time, and improve the operation efficiency of the automatic terminal. By comparing the operation efficiency of three kinds of cranes under the condition of different adjacent box proportion, total task volume and shell number of mixed stack box area. The results show that the efficiency of twin 40 ft yard crane is higher than that of single-container yard crane, and the effectiveness of the scheduling model and algorithm is verified.
Recommended Citation
Yu, Meng; Xu, Zhenli; and Tan, Tianjiao
(2022)
"Scheduling Optimization and Comparative Analysis of Twin 40 Feet Yard Crane Based on SAGA,"
Journal of System Simulation: Vol. 34:
Iss.
8, Article 21.
DOI: 10.16182/j.issn1004731x.joss.21-0291
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss8/21
First Page
1885
Revised Date
2021-07-29
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0291
Last Page
1898
CLC
TP391.9
Recommended Citation
Meng Yu, Zhenli Xu, Tianjiao Tan. Scheduling Optimization and Comparative Analysis of Twin 40 Feet Yard Crane Based on SAGA[J]. Journal of System Simulation, 2022, 34(8): 1885-1898.
DOI
10.16182/j.issn1004731x.joss.21-0291
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