Paper
3 October 2022 Optimization of fresh agricultural products distribution route based on an improved saving algorithm
Yuyao Li, Gengjun Gao
Author Affiliations +
Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 122900Y (2022) https://doi.org/10.1117/12.2640770
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China
Abstract
Aiming at the problem of optimizing the distribution route of fresh agricultural products, the goal of the shortest total distance, the shortest time, and the highest full load rate is the goal of constructing a fresh agricultural product distribution route optimization model; based on the traditional Saving algorithm, the delivery form and the fast non-dominated sorting strategy are introduced, and an improved saving algorithm for solving the multi-objective vehicle routing problem is proposed, improved Saving algorithm is used to solve the model and conduct empirical analysis. The results show: compared with the traditional saving algorithm, the improved saving algorithm can reduce the total transportation mileage by 23.258%, reduce the delivery time by 21.325%, and improve the vehicle full load rate by 19.339%, the validity of the algorithm and the scientificity of the model are proved.
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Yuyao Li and Gengjun Gao "Optimization of fresh agricultural products distribution route based on an improved saving algorithm", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 122900Y (3 October 2022); https://doi.org/10.1117/12.2640770
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KEYWORDS
Agriculture

Optimization (mathematics)

Detection and tracking algorithms

Product distribution

Computer programming

Evolutionary algorithms

Process modeling

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