Abstract: In allusion to particle swarm optimization algorithm (PSO) many defects such as being easy to get into local extremum, slow convergence in the end of evolution stage and low computational precision.A quantumbehaved particle swarm optimization algorithm (QPSO) with simplex method (SQPSO) is proposed, which can better balance the global searching and local searching ability.The experiment result demonstrated that SQPSO is of high efficiency, and of excellent optimum performance, It is of much better performance to PSO and QPSO.