Planning Method of Cross-Level Distribution Network Based on Immune Particle Swarm Algorithm

Aiming at the current distribution network, which only close upper structure will meet the client's demand, while higher structure cannot meet the need of direct cross-level distribution, this paper studies on the issues of distribution network planning based on direct cross-level and second-level transit mixing strategy. First, it sets up a cross-level distribution network optimization model of nonlinear mixed 0-1, adopting immune particle algorithm. Considering that immune particle algorithm, which is easy to find local best, we introduce the immune idea to improve it, calculate antibody concentration and affinity so that replace particles in time. At last, according to a pair of sample analysis on 3 factories, 6 distribution centers, 10 clients and a comparison between particle swarm and immune algorithm, it indicates the feasibility and effectiveness of methods that mentioned above.