Supply Chain Optimization Based on Improved PSO Algorithm

On the basis of establishment of supply chain optimization model and particle swarm optimization algorithm, an improved particle swarm optimization algorithm is proposed in this paper to solve supply chain optimization problem. In the optimization process, the improved algorithm replaced part of poor fitness value particles to fit fine fitness value particles, so the algorithm has filtering capability, which can speedup the search course and ensure the convergence in global optimal solution. Experimental results are validated and compared with particle swarm algorithm, which indicating that the improved particle swarm algorithm has better performance, and it has simpler, faster and more accurate features.