IJMLC 2013 Vol. 3(1): 103-106 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.281

Evaluation for Acquiring Method for Agents’ Actions Using Pheromone Communication in Multi-Agent System

Hisayuki Sasaoka

Abstract—This paper has presented acquiring method for agents’ actions using Ant Colony System (ACS) in multi-agent system. ACS is one of powerful meta-heuristics algorithms and some researchers have reported the effectiveness of some applications with the algorithm. I have developed agents with proposed method in a multi-agent system. The final goal of this research is an achievement of co-operations for hetero-agent in multi-agent systems. In this research for implementation for one type of agents is the first step of this goal. Then I have reported results of evaluation experiments using these agents.

Index Terms—Machine learning, multi-agent system, swarm intelligence, ant colony optimization.

Hisayuki Sasaoka is with Asahikawa National College of Technology (e-mail: author@ boulder.nist.gov).

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Cite:Hisayuki Sasaoka, "Evaluation for Acquiring Method for Agents’ Actions Using Pheromone Communication in Multi-Agent System," International Journal of Machine Learning and Computing vol. 3, no. 1, pp. 103-106, 2013.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net