DocumentCode
690998
Title
Mobile Robot Path Planning Using an Improved Ant Colony Algorithm in Uncertain Environments
Author
Shigang Cui ; Hui Wang ; Jigong Li
Author_Institution
Tianjin Key Lab. of Inf. Sensing & Intell. Control, Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear
2013
fDate
21-23 Sept. 2013
Firstpage
200
Lastpage
203
Abstract
As a swarm intelligence, ant colony algorithm (ACA) is widely used to solve the path planning problem. But ACA applied to the path planning has some disadvantages such as fall into local optimization easily and low convergence. In order to overcome these defects, we improved the ant colony algorithm by changing heuristic factor. The experiment results indicate that the improved algorithm performs better original algorithm.
Keywords
mobile robots; optimisation; path planning; swarm intelligence; ACA; heuristic factor; improved ant colony algorithm; local optimization; mobile robot path planning; path planning problem; swarm intelligence; uncertain environments; Classification algorithms; Convergence; Heuristic algorithms; Optimization; Path planning; Robots; Search problems; ant colony algorithm; heuristic factor; path planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/IMCCC.2013.49
Filename
6840438
Link To Document