Co-evolution of Hetero Multiagent Systems using Genetic Network Programming

Hirasawa Kotaro, Okubo Masafumi, Hu Jinglu, Junichi Murata, Matsuya Yuko

研究成果: Contribution to journalArticle

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Recently, many methods of evolutionary computation such as Genetic Algorithm(GA) and Genetic Programming(GP) have been developed as a basic tool for modeling and optimizing complex systems. GA has the genome of string structure, while the genome in GP is of tree structure. In this paper, a new evolutionary method named Genetic Network Programming(GNP), whose genome has network structure is applied to multiagent sysytems. Hetero Multiagent Sysytems with GNP are studied, where each agent of the same group has its own GNP program in order to build the adaptive agents against changing environments. Specifically, the comparison between Hetero Multiagent Systems and conventional Homo Multiagent Sysytems is carried out in simulations on ants behaviors.

元の言語英語
ページ(範囲)544-551
ページ数8
ジャーナルIEEJ Transactions on Electronics, Information and Systems
123
発行部数3
DOI
出版物ステータス出版済み - 1 1 2003

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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