The novel chaotic swarm particle swarm optimization algorithm was proposed based on limited effective region to deal with the problems of premature and local convergence of simple particle swarm optimization algorithm(PSO).The special initialization was applied to cover the global optimization.The swarm diversities were increased by introducing the chaotic series nonlinear property in the velocity update process.The particles outside the limited effective region explored the feasible region to improve the exploration,and the particles in the limited effective region searched the optimization to improve the precision.The experiment result shows that the proposed algorithm has better accuracy and efficiency of solution.