Functional Localization of Genetic Network Programming and its Application to a Pursuit Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Eto:2004:FLoGNPaiAtaPP,

• title = "Functional Localization of Genetic Network Programming and its Application to a Pursuit Problem",
• author = "Shinji Eto and Kotaro Hirasawa and Jinglu Hu",
• pages = "683--690",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Evolutionary intelligent agents, Poster Session",
• DOI = "doi:10.1109/CEC.2004.1330925",
• 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.",
• 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