关键词: 配送车辆, 粒子群算法, 种群分类, 调度方案

Abstract: In order to obtain good vehicle scheduling results, a vehicle scheduling optimization method based on particle swarm optimization algorithm with population classification is proposed in this paper. Firstly, a mathematical model of vehicle scheduling problem is established, and then the model is solved by improved particle swarm optimization algorithm which particle swarms have different operations according to the classification results to speed up the search speed and avoid falling into local optimal, finally, the simulation experiment is used to test the performance. The result shows that the proposed particle swarm optimization algorithm can obtain good vehicle scheduling solution, and it has certain practical value.

Key words: vehicle distribution, particle swarm optimization algorithm, population classification, scheduling scheme