Novel particle swarm optimization algorithm based on complex method
复形法粒子群优化算法研究

To improve the search quality of the standard PSO algorithm for solving complex function, this paper proposed a novel particle swarm optimization algorithm based on complex method. It improved the local search capability of particle by using complex method in proposed algorithm, so that proposed algorithm could jump out of local optimal, and obtained the global optimal solution. Simulations show that proposed algorithm has more powerful optimizing ability and higher optimizing precision in function optimization than literature algorithms.