Optimum Design for Full Vehicle Logistic Network Based on Mixed Particle Swarm Algorithm

This paper based on the manipulation of full vehicle logistic network and integrated inventory, in order to optimize automobile logistics network and reduce costs, the integrated optimization model was presented, which provided an integrated view of transportation economies-of-scale, inventory and facility costs as well as service quality, and at the same time a complicated multi-customer network is disassembled to some single customer networks. At last, a PSO algorithm mixed GA and MS is presented. GA is embedded to solve the difficulties of updating the particles in the binary code system; the roulette algorithm is embedded to eliminate worse particles; SA is embedded to control convergence of particles.