DocumentCode
3476044
Title
Simulation Study on Searching for Food by Cooperation of Multi-Robots with Swarm Intelligence
Author
Wang, Lan ; Zhang, Qian ; Wan, Nianfeng
Author_Institution
ZhongYuan Univ. of Technol., Zhengzhou
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
2296
Lastpage
2300
Abstract
In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through animation. The simulation results show that the improved method is effective.
Keywords
intelligent robots; multi-robot systems; optimisation; path planning; ant colony algorithm; map-traveling strategy; multirobots cooperation; path planning problem; searching process; swarm intelligence; Animation; Ant colony optimization; Automation; Cities and towns; Food technology; Logistics; Navigation; Particle swarm optimization; Path planning; Shortest path problem; Ant Colony Algorithm; Multi-robots; Path Planning; Simulation; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338959
Filename
4338959
Link To Document