Multi-target Optimization for Automatic Blending Coal System Based on PSO Algorithm

The particle swarm optimization(PSO) algorithm is a powerful global optimization method based on swarm intelligence,but it cannot optimize automatic blending coal system with multi-target.Based on considering three targets that actual coal ash achieves object coal ash,time of coal blending is minimal,and energy is minimal and economic benefit is maximal,a model of automatic blending coal system with multi-target with condition restriction was constructed.It used weighting method to translate multi-target problem of automatic blending coal system into single target one,used PSO algorithm to optimize the system,so as to get the best solution set.The simulation result showed that the method that applying PSO algorithm to optimize automatic blending coal system with multi-target is simple and feasible,which has good effect.However,it is difficult to select fitness function and weighting parameters to the method.