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China | Electronics Information Engineering | Volume 9 Issue 7, July 2020 | Pages: 929 - 932
Cold Chain Logistics Path Planning Based on Particle Swarm Optimization
Abstract: Reasonable planning of logistics paths is of great significance for reducing transportation costs in the cold chain industry. In this paper, based on the analysis of the constraints of the vehicle routing problem, a mathematical model of routing is established. The particle swarm optimization algorithm is used to optimize the constructed mathematical model, and the implementation process and flow chart are given. Using Matlab software combined with actual data information for simulation calculation, the experimental results show that the particle swarm optimization algorithm can effectively solve the problem of route planning, and the distribution route obtained is more reasonable.
Keywords: path planning, mathematical model, particle swarm optimization
How to Cite?: WANG Li, XIONG Yidong, WANG Wei, "Cold Chain Logistics Path Planning Based on Particle Swarm Optimization", Volume 9 Issue 7, July 2020, International Journal of Science and Research (IJSR), Pages: 929-932, https://www.ijsr.net/getabstract.php?paperid=SR20713112956, DOI: https://dx.doi.org/10.21275/SR20713112956