Functional Localization of Genetic Network Programming

Shinji Eto, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)329-336
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Volume125
Issue number2
DOIs
Publication statusPublished - 2005

Fingerprint

Directed graphs
Evolutionary algorithms
Brain

Keywords

  • Evolutionary Computation
  • Functional Localization
  • Genetic Network Programming (GNP)
  • Pursuit Problem

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Functional Localization of Genetic Network Programming. / Eto, Shinji; Hirasawa, Kotaro; Furuzuki, Takayuki.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 125, No. 2, 2005, p. 329-336.

Research output: Contribution to journalArticle

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