Path planning of mobile robot based on particle swarm optimization algorithm

Abstract Aiming at the premature convergence problem of particle swarm optimization (PSO) due to loss population diversity in late stage search, this paper improves traditional PSO and proposes elite mean deviation induction strategy, which speed accuracy PSO. The experimental results show that improved are improved. effectiveness algorithm is proved.