Optimization for the logistics network of electric power enterprise based on a mixed mcpso and simulated annealing algorithm

Abstract

Recently the Electric Power Enterprise have many problems showing up. Combining the characters of Electric power enterprise supplies, researchers build an optimized network model to solve the irrationality of warehouse network, the simplex distribution and the high storage cost. This new model uses a method different from gravity and radius method which usually used by the general models. Researchers also discuss the penalty costs, construction costs and the operation costs in this paper. They use simulated annealing algorithm based on a mixed MCPSO (Multi-swarm Cooperative Particle Swarm Optimizer) in the new model. Fortunately, in an actual project of Power Supply Company, this optimized scheme is verified to be rational and effective. © 2013 Springer Science+Business Media New York.