A Study on the Path Planning of Robots Based on the PSO Fusion Ant Colony Algorithm
In order to solve the path planning problems of the underwater vehicle,a PSO fusion ant colony algorithm is proposed to solve the problems of slow convergence and poor path optimization of the ant colony algorithm,which uses the PSO to optimize the parameters of the ant colony algorithm in all aspects.Each parameter in the ant colony algorithm is substituted into the particle swarm optimization algorithm for optimization,and the fitness function is de-signed to make each parameter converge to the direction of high evaluation indexes,and the global optimal extremum is obtained.Then,each parameter is substituted into the ant colony algorithm to calculate the path and the number of iterations.Through the comparison of the simulation results,the PSO fusion ant colony algorithm has higher rapidity and accuracy in solving the path planing problems.
万方数据
维普
