Research on vehicle routing problem of equipment maintenance support based on genetic algorithm

Yuanwen Chen; Shengli Gu; Shuai Shi

doi:10.1117/12.2661056

16 December 2022 Research on vehicle routing problem of equipment maintenance support based on genetic algorithm

Yuanwen Chen, Shengli Gu, Shuai Shi

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125005L (2022) https://doi.org/10.1117/12.2661056
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

In order to solve the vehicle routing problem of material distribution and personnel transportation in military equipment maintenance under various realistic constraints, this study established a mathematical model with the shortest average maintenance completion time as the objective and designed two models under the condition of considering the importance of maintenance demand point, maintenance completion time limit and load capacity limit. A two-layer nested genetic algorithm is designed to solve the above problem. Simulation results show that the algorithm has good iterative performance and time consumption performance, and the results are accurate and reliable, which can provide reliable auxiliary decision support.

Citation Download Citation

Yuanwen Chen, Shengli Gu, and Shuai Shi "Research on vehicle routing problem of equipment maintenance support based on genetic algorithm", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125005L (16 December 2022); https://doi.org/10.1117/12.2661056

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