关键词: 粒子群, 差分演化, 早熟

Abstract: It’s inevitable to produce infeasible points when the author use particle swarm optimization to solve nonlinear programming problems，and it is very important to handle infeasible points for particle swarm opimization to get good optimization result.The authors propose an reasonable select method to deal with infeasible points based on object function value and violate degree，and apply an hybrid particle swarm optimization algorithm combined differential evolution to solve constrined optimization problems，the numerical experiment indicated that the algorithm is efficient.

Key words: particle swarm, differential evolution, premature