Research on Hybrid Particle Swarm Optimization for Automobile Logistics Network Design Problem
整车物流网络规划问题的混合粒子群算法研究

According to the practical operation characteristic of automobile logistics network,the integrated optimization model is presented,which provides an integrated view of transportation economies-of-scale,inventory and facility costs as well as service quality.The solution combined the flow prediction algorithm and particle swarm optimization(PSO) is presented.In this solution,PSO is used to search feasible structure of logistics network,while flow prediction algorithm is used to decide its optimal transportation route.Evolution operation such as crossover and mutation is also embedded to avoid the common defect of premature convergence.Simulations are given to confirm this hybrid particle swarm optimization work efficiency and the probability of finding the global optimal value are enhanced.