Functional Localization of Genetic Network Programming and its Application to a Pursuit Problem
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- @InProceedings{Eto:2004:FLoGNPaiAtaPP,
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title = "Functional Localization of Genetic Network Programming
and its Application to a Pursuit Problem",
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author = "Shinji Eto and Kotaro Hirasawa and Jinglu Hu",
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pages = "683--690",
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booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary
Computation",
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year = "2004",
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publisher = "IEEE Press",
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month = "20-23 " # jun,
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address = "Portland, Oregon",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, Evolutionary
intelligent agents, Poster Session",
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DOI = "doi:10.1109/CEC.2004.1330925",
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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 brain has. We
studied the basic characteristics of the proposed
system by making GNP work in a functionally localized
way.",
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notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and
the IEE.",
- }
Genetic Programming entries for
Shinji Eto
Kotaro Hirasawa
Jinglu Hu
Citations