Research on Logistics Vehicle Path Based on Ant Colony Algorithm
Abstract: Aiming at the problem of vehicle route optimization, this paper studies the optimization method based on ant colony algorithm, reasonably determines the distribution route, improves the logistics income, and realizes the logistics distribution. This paper studies the basic theories of vehicle routing optimization problems, including problem definitions, basic requirements, constraints and main rules, and constructs a mathematical model of vehicle routing optimization problems. The principle and algorithm steps of the ant colony algorithm are studied, and the realization process of the ant colony optimization algorithm to solve the vehicle path model is presented. MATLAB software is used for simulation to verify the feasibility of the ant colony algorithm for vehicle path optimization.
Keywords: vehicle routing optimization, mathematical model, ant colony algorithm, optimization solution
How to Cite?: WANG Li, WANG Yaozhao, WANG Wei, "Research on Logistics Vehicle Path Based on Ant Colony Algorithm", Volume 9 Issue 9, September 2020, International Journal of Science and Research (IJSR), Pages: 1277-1280, https://www.ijsr.net/getabstract.php?paperid=SR20922104144, DOI: https://dx.doi.org/10.21275/SR20922104144