ACO Algorithm Characteristic Analysis of Robot′s Space Path Planning
YANG Lianhua
CHANG Xiao
Abstract：In order to further research the path planning method of robot′s mobile space and analyze the influence of main coefficients of ant colony algorithm on path planning ,the mobile spatial information of the robot is described by the grid method according to the main characteristics of ant colony optimization algorithm .With the path length and the number of iterations as the goal ,the key parameters such as the number of ant colony and information pheromone evaporation coefficients of the ant colony optimization algorithm are selected to simulate and analyze their influence on the length and efficiency of the path planning to get the best array of path.The simulation results show that the reasonable selection of algorithm parameters can achieve the short path planning length of the robot′s mobile space and the high path planning efficiency .
Keywords：mobile robotant colony optimization algorithmpath planninginfluence parameter
Publication Date：2016-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：6( 81-86 )