TY - JOUR
T1 - Functional Localization of Genetic Network Programming
AU - Eto, Shinji
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Evolutionary Computation
KW - Functional Localization
KW - Genetic Network Programming (GNP)
KW - Pursuit Problem
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U2 - 10.1541/ieejeiss.125.329
DO - 10.1541/ieejeiss.125.329
M3 - Article
AN - SCOPUS:72149102047
SN - 0385-4221
VL - 125
SP - 329
EP - 336
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
IS - 2
ER -