Research on complex path optimization based on data mining

Haoyang Li

doi:10.1117/12.2615126

15 October 2021 Research on complex path optimization based on data mining

Haoyang Li

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330E (2021) https://doi.org/10.1117/12.2615126
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

With the vigorous development of the modern logistics industry, traditional route optimization and matching can no longer meet the increasingly complex road conditions and changing natural factors. Being aware of the low efficiency and high energy consumption problems of vehicles in logistics distribution, we propose a logistics distribution route optimization method based on data mining, combined with mathematical models, calculates the model based on the number of samples, combined with GIS technology for accessibility analysis, and compares the distribution speed, logistics cost and economic benefits of different routes, in order to solve the complex optimization problem of logistics path in different environments.

Citation Download Citation

Haoyang Li "Research on complex path optimization based on data mining", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330E (15 October 2021); https://doi.org/10.1117/12.2615126

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