Title :
Introduction of Acquiring Method for Agents´ Actions with Simple Ant Colony Optimization in RoboCup Rescue Simulation System
Author :
Sasaoka, Hisayuki
Author_Institution :
Dept. of Electr. & Comput. Eng., Asahikawa Nat. Coll. of Technol., Asahikawa, Japan
fDate :
Nov. 30 2011-Dec. 2 2011
Abstract :
This paper has presented acquiring method for agents´ actions using Ant Colony Optimization (ACO) in multi-agent system. ACO is one of powerful meta-heuristics algorithms and some researchers have reported the effectiveness of some applications with the algorithm [1-4]. I have developed fire brigade agents using proposed method in RoboCup rescue simulation system. The final goal of this research is an achievement of co-operations for hetero-agent in multi-agent systems. Then this research for implementation for fire brigade agents in my team is the first step of this goal.
Keywords :
control engineering computing; mobile robots; multi-agent systems; multi-robot systems; optimisation; ACO; RoboCup rescue simulation system; agents actions; ant colony optimization; fire brigade agents; hetero-agent; meta-heuristics algorithms; multiagent system; Ant colony optimization; Cities and towns; Computational modeling; Fires; Intelligent systems; Multiagent systems; Probabilistic logic; Ant Colony Optimization; Machine Learning; RoboCup Rescue; Swarm Intelligence;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4577-1908-0
DOI :
10.1109/INCoS.2011.105
