Co-evolution of Hetero Multiagent Systems using Genetic Network Programming

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

研究成果: Article査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
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
3
DOI
出版ステータスPublished - 2003 1月
外部発表はい

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「Co-evolution of Hetero Multiagent Systems using Genetic Network Programming」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル