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28 July 2022 Genetic algorithm for resolving vehicle routing problem
Luqiang Cheng, Xingguang Chen, Gaoyou Cui
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Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230302 (2022) https://doi.org/10.1117/12.2642518
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China
Abstract
With the development of my country's economy and society, in a challenging competitive environment, the traditional business model of small and medium-sized enterprises is facing huge challenges. SY Bottled Water Company is one of the largest drinking water producers in D City, with more than 20 large and medium-sized drinking water sales agencies in the city. In the past, the company relied on the experience of the delivery staff to select the delivery route. With the gradual expansion of the market scale, the original delivery strategy can no longer meet the current delivery needs. Based on the above background, this paper establishes a VRP distribution optimization model for a single center and single vehicle type, and proposes a corresponding genetic algorithm to solve it. Numerical simulation results show that the model proposed in this paper has been significantly improved in terms of the total distance of the distribution route and the total cost, thus verifying the effectiveness of the model.
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Luqiang Cheng, Xingguang Chen, and Gaoyou Cui "Genetic algorithm for resolving vehicle routing problem", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230302 (28 July 2022); https://doi.org/10.1117/12.2642518
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KEYWORDS
Genetic algorithms
Optimization (mathematics)
Mathematical modeling
Computer simulations
Algorithm development
Optoelectronics
Numerical simulations
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