Optimization Model of Multi-objective Distribution Based on Adaptive Grid Particle Swarm Optimization Algorithm

Multi-objective optimization was advanced for selection of distribution solutions.A multi-objective planning model was built on the demand of customers to achieve both the lowest cost and burden level equilibrium of each distribution center.Particle swarm optimization(PSO) algorithm was used for both local and global search in solution space.Adaptive grid algorithm(AGA) was used to update the non-inferior solutions archive and maintain its dimension. The demonstration indicates that a Pareto front which evenly distributed in the solution space can be obtained by using multi-objective particle swarm optimization algorithm based on adaptive grid algorithm.The result shows a kind of contrary relationship between these two objectives.Thus a satisfactory solution can be found.