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

Shinji Eto; Kotaro Hirasawa; Jinglu Hu

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

Shinji Eto, Kotaro Hirasawa, Jinglu Hu

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (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
Title of host publication	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Pages	683-690
Number of pages	8
Publication status	Published - 2004 Sep 13
Event	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, United States Duration: 2004 Jun 19 → 2004 Jun 23

Publication series

Name	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Volume	1

Conference

Conference	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Country	United States
City	Portland, OR
Period	04/6/19 → 04/6/23

ASJC Scopus subject areas

Engineering(all)

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Cite this

Functional localization of genetic network programming and its application to a pursuit problem. / Eto, Shinji; Hirasawa, Kotaro; Hu, Jinglu.

Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. 2004. p. 683-690 (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eto, S, Hirasawa, K & Hu, J 2004, Functional localization of genetic network programming and its application to a pursuit problem. in Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, vol. 1, pp. 683-690, Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, Portland, OR, United States, 04/6/19.

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