P system based particle swarm optimization algorithm

Abstract

Particle Swarm Optimization algorithm is a kind of excellent optimization algorithm, and has been widely used in many fields. In order to overcome the premature convergence and improve the accuracy of the PSO, we combine some related theories of membrane computing with PSO. The new algorithm can effectively balance the global search and partial optimization. Simulation results based on three bench functions show that the new algorithm can effectively solve the problem of premature, and effectively improve the convergence precision. At the same time, the algorithm in solving TSP problem also shows good optimization ability. © Springer Science+Business Media Dordrecht 2014.