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

fYear

2011

fDate

Nov. 30 2011-Dec. 2 2011

Firstpage

726

Lastpage

728

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on

Conference_Location

Fukuoka

Print_ISBN

978-1-4577-1908-0

Type

conf

DOI

10.1109/INCoS.2011.105

Filename

6132899