Author(s)

Weiyi Zhang ¹

Affiliation(s)

¹ School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang, China

Corresponding Author

ABSTRACT

This study is devoted to the problem of predicting and optimizing the cargo volume of routes in e-commerce logistics networks. By establishing ARIMA time series and BP neural network prediction models, combined with weighted summation method to accurately predict three lines. A multi-objective integer optimization model is proposed and solved using a genetic algorithm to achieve the adjustment and optimization of daily route capacity in the case of logistics site closure. This study provides an effective network transfer optimization scheme for large logistics companies, which is expected to improve logistics efficiency, reduce costs, meet the challenges of emergencies, and promote the healthy development of the e-commerce logistics industry.

KEYWORDS

CITE THIS PAPER

Weiyi Zhang, Analysis of Network Movement Optimization Model Based on Time Series Forecasting and Multi-Objective Integer Optimization. Advances in Computer, Signals and Systems (2024) Vol. 8: 104-111. DOI: http://dx.doi.org/10.23977/acss.2024.080315.

REFERENCES

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