Open AccessOptimization Model of Shortest Distribution Path Selection in Intelligent Logistics
Author(s) -
Hong Lin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012171
Subject(s) - path (computing) , shortest path problem , selection (genetic algorithm) , computer science , distribution (mathematics) , operations research , mathematical optimization , artificial intelligence , engineering , mathematics , graph , mathematical analysis , theoretical computer science , programming language
In order to quantitatively analyze the relationship between intelligent distribution path selection and logistics economic development and promote the development of logistics economy, an optimization model of intelligent logistics shortest distribution path selection is proposed. This paper analyzes the statistical characteristics of intelligent distribution path selection to the development of logistics economy, adopts the shortest path optimization method to select the intelligent distribution path, constructs the big data statistical analysis model of intelligent distribution path selection and logistics economic development by using quantitative regression analysis method, analyzes the development factors of logistics economy by intelligent distribution path selection combined with multiple linear fusion method, and combines the fuzzy constraint control method. Realize the optimization of logistics intelligent distribution path. According to optimization The distribution effect is modeled by statistical analysis of logistics economic development, and the quantitative relationship between intelligent distribution path selection technology and logistics economic development is analyzed. The results of empirical analysis show that the intelligent distribution path selection has a significant level to the development of logistics economy. This method has good optimization for logistics distribution path selection, improves logistics throughput and promotes the development of logistics economy.