Open AccessPath Planning of Robot Based on Improved Ant Colony Algorithm in Computer Technology
Author(s) -
Yuanyi Chen,
Xin Zhou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/4/042092
Subject(s) - ant colony optimization algorithms , motion planning , computer science , heuristic , path (computing) , convergence (economics) , mathematical optimization , robot , mobile robot , ant colony , artificial intelligence , algorithm , mathematics , economics , programming language , economic growth
Mobile robot is a complex control system which integrates environment perception, path planning, dynamic decision making and behavior execution. After decades of development, ant colony algorithm has achieved good results in solving global optimization problems and is widely used in various fields. Although it has the ability to find the optimal solution, it has some defects: slow convergence speed and easy to fall into the local optimal solution. An improved ant colony algorithm is proposed to search through the improved it, select the path independently according to the number of pheromones, and improve by adjusting the heuristic factor function. The reason for this analysis is improved and optimized [1] .