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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
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

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).


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.

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