Title :
Evaluation for acquiring method for agents´ actions in multi-agent system using pheromone communication between agents
Author :
Sasaoka, Hideichi
Author_Institution :
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 [1-3]. 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; ACO; RoboCup rescue simulation system; agent actions; ant colony optimization; metaheuristics algorithms; multiagent system; pheromone communication; Ant Colony Optimization; Evolutionary Computation; Machine Learning; Swarm Intelligence;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505207