In order to provide reasonable and effective decision support for logistics enterprises in vehicle distribution path planning, the problem of multi-model urban logistics distribution path was studied according to the distribution mode of single distribution center, and a mathematical model aiming at minimizing the total distribution cost was established. According to the characteristics of the model, a solution method based on ant colony algorithm is proposed. MATLAB was used to carry out the simulation experiment, and 159 supermarket logistics distribution path optimization cases in the city were used to carry out the simulation experiment. The results show that the model and algorithm in this paper are feasible and advantageous in solving the problem of multi-vehicle distribution routes in cities.
Optimization Design of Multi-vehicle Urban Logistics Distribution Based on Ant Colony Optimization
Lect. Notes Electrical Eng.
International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021
2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) ; Kapitel : 92 ; 1045-1052
2022-06-01
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Optimization Design of Multi-vehicle Urban Logistics Distribution Based on Ant Colony Optimization
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