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 :
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