Research on complex path optimization based on data mining
Haoyang Li · 2021
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.