Co-evolution of Hetero Multiagent Systems using Genetic Network Programming

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)544-551
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number3
Publication statusPublished - 2003 Jan
Externally publishedYes


  • GA
  • GNP
  • GP
  • artificial life
  • emergent systems
  • multi agent system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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