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Proceedings Paper

Research on path optimization of reverse logistics network
Author(s): Tao Fan; Ying Sun
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Paper Abstract

In the era of "Internet +", when using genetic algorithm to explore the recovery path optimization problem of reverse logistics network, it is found that the transportation time and vehicle arrangement have an important impact on the problem while requiring the shortest transportation path. In practical applications, when applying the Travelling Salesman Problem (TSP) method to solve the location and path planning problems of reverse logistics network, it is necessary to redesign the distance matrix of the method and the fitness of the solution algorithm. This paper designs a set of reverse logistics path planning model considering path, environmental impact and resource utilization.

Paper Details

Date Published: 27 November 2019
PDF: 5 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113211W (27 November 2019); doi: 10.1117/12.2540994
Show Author Affiliations
Tao Fan, Wuhan Univ. of Technology (China)
Ying Sun, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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