Genetic Network Programming with Reconstructed Individuals

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Fengming Ye and Shigo Mabu and Lutao Wang and 
                 Shinji Eto and Kotaro Hirasawa",
  title =        "Genetic Network Programming with Reconstructed
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "854--859",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, dgenetic
                 network programming, ata structure, directed graph,
                 elite information enhancement, reconstructed
                 individual, data structures, directed graphs",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P072.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983034",
  abstract =     "Genetic Network Programming (GNP) is a newly proposed
                 evolutionary approach which can evolve itself and find
                 the optimal solutions. It is a novel method based on
                 the idea of Genetic Algorithm (GA) and uses the data
                 structure of directed graphs. As GNP has been developed
                 for dealing with problems in dynamic environments, many
                 papers have demonstrated that GNP can be applied to
                 many areas such as data mining, forecasting stock
                 markets, elevator control systems, etc. Focusing on
                 GNPs distinguished expression ability of the graph
                 structure, this paper proposes a method named Genetic
                 Network Programming with Reconstructed Individuals (GNP
                 with RI). In the proposed method, the worst individuals
                 are reconstructed and enhanced by the elite information
                 before undergoing genetic operations (mutation and
                 crossover). The phenomenon in the nature, where bad
                 individuals can become smarter after receiving good
                 education. GNP with RI has been applied to the
                 tile-word which is an excellent benchmark for
                 evaluating the proposed architecture. The performance
                 of GNP with RI is compared with conventional GNP
                 demonstrating its superiority.",
  notes =        "CEC 2009 - A joint meeting of the IEEE, the EPS and
                 the IET. IEEE Catalog Number: CFP09ICE-CDR Also known
                 as \cite{4983034}",

Genetic Programming entries for Fengming Ye Shingo Mabu Lutao Wang Shinji Eto Kotaro Hirasawa