IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
Special Issue Paper
Multi Agent Systems with Symbiotic Learning and Evolution -Masbiole- and Its Application
Kotaro HirasawaKatsushige NakanishiToru EguchiJinglu Hu
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JOURNAL FREE ACCESS

2003 Volume 123 Issue 1 Pages 67-74

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Abstract
Recently, systems are becoming more complex and larger than ever, so numerous attempts have been made to introduce biological features into artificial systems, because many biological systems in the nature exist as one of the most complex systems.
Multi agent system with symbiotic learning and evolution have been recently proposed. It is named Masbiole. In this paper, Masbiole is reviewed and the method for evolving multi agent systems is proposed. From simulations on a multi objective knapsack problem, it has been clarified that Masbiole has better performance than that of conventional multi objective genetic algorithms.
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© 2003 by the Institute of Electrical Engineers of Japan
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