Sintering Blending Optimization Based on Hybrid Particle Swarm Algorithm

With the introduction of punishment function and the appropriate modification of objective function,a sintering blending optimization algorithm is proposed,which takes full advantage of the global search ability of particle swarm optimization(PSO) algorithm and the local search ability of conjugate gradient algorithm with constraints.Punishment function is used to transform the optimization problem with constraints into an unconstrained optimization problem,and then PSO is applied to search the optimum.When the optimization information of swarm becomes stagnant,the objective function is modified appropriately and the conjugate gradient algorithm is employed to continue searching the optimum.The calculation result shows that the presented method can reduce production cost by increasing the useful ingredient and reducing the harmful ingredient of the mixed material.