Title :
Evaluation for Acquiring Method for Agents´ Actions with Ant Colony Optimization in Robo Cup Rescue Simulation System
Author :
Sasaoka, Hisayuki
Author_Institution :
Dept. of Electr. & Comput. Eng., Asahikawa Nat. Coll. of Technol., Asahikawa, Japan
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 Robo Cup 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 :
ant colony optimisation; mobile robots; multi-agent systems; travelling salesman problems; ACO; Robo Cup rescue simulation system; acquiring method; agents actions; ant colony optimization; fire brigade agents; hetero-agent; multiagent system; powerful meta-heuristics algorithms; travelling salesman problem; Ant colony optimization; Computational modeling; Educational institutions; Fires; Mathematical model; Presses; Roads; Ant Colony Optimization; Pheromone Communication; Robo Cup Rescue; Swarm Intelligence;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2012 4th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-2279-9
DOI :
10.1109/iNCoS.2012.104
