Journal of System Simulation
Abstract
Abstract: In view of the unreasonable distribution path, low distribution efficiency and demand uncertainty in the current vehicle distribution process, a dynamic vehicle distribution path optimization method based on the improved intelligent drop algorithm is proposed. According to the customer's demand for delivery time, the soft time window penalty function and customer satisfaction function are constructed. Based on the characteristics of vehicle speed, damage cost, penalty cost and customer satisfaction of vehicle distribution, a vehicle path optimization model is established. The vehicle path optimization model is solved by the intelligent water droplet algorithm. The grey wolf optimization algorithm is used to improve the search ability of the intelligent water droplet algorithm to obtain optimization path. Experiment results show that the method can provide the real-time optimization path and reduce the allocation cost.
Recommended Citation
Fan, Shuangnan; Chen, Jiming; Gao, Weimin; and Wang, Zengfeng
(2020)
"Dynamic Vehicle Distribution Path Optimization Based on Improved Intelligent Water Drop Algorithm,"
Journal of System Simulation: Vol. 32:
Iss.
9, Article 20.
DOI: 10.16182/j.issn1004731x.joss.19-0374
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss9/20
First Page
1808
Revised Date
2020-04-15
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0374
Last Page
1817
CLC
TP30
Recommended Citation
Fan Shuangnan, Chen Jiming, Gao Weimin, Wang Zengfeng. Dynamic Vehicle Distribution Path Optimization Based on Improved Intelligent Water Drop Algorithm[J]. Journal of System Simulation, 2020, 32(9): 1808-1817.
DOI
10.16182/j.issn1004731x.joss.19-0374
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons