Application of improved particle swarm optimization algorithm in robotic path planning

Abstract

According to the defect of particle swarm optimization that it is easily to fall into local optimal solution,combining with the model of robotic path planning,a novel particle swarm optimization with perturbation mechanism is proposed.In perturbation mechanism,the new modified particles are produced to take places of those particles which keep no evolution.This method leads the algorithm to find the feasible path and is helpful for escaping the local optimal solution.Simulation experiments are also done in this paper,and the results of computer simulation compared with traditional algorithms demonstrate the superiority of the enhanced algorithm.