Functional localization of genetic network programming and its application to a pursuit problem

Shinji Eto, Kotaro Hirasawa, Jinglu Hu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

According to the knowledge of brain science, it is suggested that there exists cerebral functional localization, which means that a specific part of the cerebrum is activated depending on various kinds of information human receives. The aim of this paper is to build an artificial model to realize functional localization based on Genetic Network Programming (GNP), a new evolutionary computation method recently developed. GNP has a directed graph structure suitable for realizing functional localization. We studied the basic characteristics of the proposed system by making GNP work in a functionally localized way.

本文言語English
ホスト出版物のタイトルProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
ページ683-690
ページ数8
出版ステータスPublished - 2004 9月 13
イベントProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, United States
継続期間: 2004 6月 192004 6月 23

出版物シリーズ

名前Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
1

Conference

ConferenceProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
国/地域United States
CityPortland, OR
Period04/6/1904/6/23

ASJC Scopus subject areas

  • 工学(全般)

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