Abstract
Aiming at the most basic model of logistics distribution path optimization in B2C e-commerce environment, a tabu search algorithm is designed, and an example is tested and compared. The test results show that the tabu search algorithm has better performance than the genetic simulated annealing algorithm with memory function in terms of calculation time and optimization effect, and can meet the requirements of fast and low-cost distribution in e-commerce environment.
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Guo, P., Zhang, X. (2021). Model and Algorithm of Logistics Distribution Path in Model and Algorithm of Logistics Distribution Path in B2C e-Commerce Environment Based on Genetic Algorithm. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_177
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DOI: https://doi.org/10.1007/978-981-16-1726-3_177
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