Functional Localization of Genetic Network Programming

Shinji Eto; Kotaro Hirasawa; Jinglu Hu

doi:10.1541/ieejeiss.125.329

Functional Localization of Genetic Network Programming

Shinji Eto, Kotaro Hirasawa, Jinglu Hu

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	329-336
Number of pages	8
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	125
Issue number	2
DOIs	https://doi.org/10.1541/ieejeiss.125.329
Publication status	Published - 2005

Keywords

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

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.125.329

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KW - Functional Localization

KW - Genetic Network Programming (GNP)

KW - Pursuit Problem

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Functional Localization of Genetic Network Programming

Abstract

Keywords

ASJC Scopus subject areas

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