Multi Agent Systems with Symbiotic Learning and Evolution -Masbiole- and Its Application

Kotaro Hirasawa, Katsushige Nakanishi, Toru Eguchi, Jinglu Hu

研究成果: Article査読

5 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)67-74
ページ数8
ジャーナルIEEJ Transactions on Electronics, Information and Systems
123
1
DOI
出版ステータスPublished - 2003 1
外部発表はい

ASJC Scopus subject areas

  • 電子工学および電気工学

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