Research on Dynamic Mine Ore Blending Optimization Based on Particle Swarm Optimization in Mining Enterprises

Particle Swarm Optimization(PSO) algorithm is proposed to solve the problem of mining enterprises dynamic allocation.The mineable ore blocks can be marked according to mining conditions delineated,with a bit of ore particles to represent a mine block,and the selected ore mining block is represented by 1,and the constrained PSO particles computing and "flight" rule is re-defined and the dynamic allocation ore particle swarm algorithm is realized.The PSO algorithm implementation is simple,the optimum effect is obvious,the comparison of actual production in 2009 and the optimization results shows that the algorithm improves enterprise efficiency significantly when the cost of production is almost unchanged.