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14 February 2024 Joint distribution route optimization of vehicle and drone based on NSGA Ⅱ
Lichao Chen, Huaili Chen
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Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130181T (2024) https://doi.org/10.1117/12.3024083
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In order to reduce the distribution cost of terminal logistics and improve customer satisfaction, a multi-objective vehicle and drone joint distribution route optimization model is proposed to minimize the total cost of distribution and maximize the average satisfaction of customer under the constraints of time window, vehicle load, drone load and the longest flight distance. The pareto solution set is obtained by the elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ), then the entropy weight method is used to determine the weights of each objective function, and finally the optimal distribution scheme is obtained. The experimental results show that the joint distribution model of vehicle and drone can effectively reduce distribution cost and improve the customer satisfaction compared with the traditional vehicle distribution mode.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Lichao Chen and Huaili Chen "Joint distribution route optimization of vehicle and drone based on NSGA Ⅱ", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130181T (14 February 2024); https://doi.org/10.1117/12.3024083
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KEYWORDS
Mathematical optimization
Transportation
Genetic algorithms
Data modeling
MATLAB
Roads
Unmanned aerial vehicles
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