Genetic Network Programming with Simplified Genetic Operators

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Xianneng Li and Wen He and Kotaro Hirasawa",
  title =        "Genetic Network Programming with Simplified Genetic
  booktitle =    "International Conference on Neural Information
                 Processing, ICONIP 2013, Part II",
  year =         "2013",
  editor =       "Minho Lee and Akira Hirose and Zeng-Guang Hou and 
                 RheeMan Kil",
  volume =       "8227",
  series =       "Lecture Notes in Computer Science",
  pages =        "51--58",
  address =      "Daegu, Korea",
  month =        nov # " 3-7",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, genetic
                 network programming, directed graph, transition by
                 necessity, invalid evolution",
  isbn13 =       "978-3-642-42041-2",
  URL =          "",
  DOI =          "doi:10.1007/978-3-642-42042-9_7",
  size =         "8 pages",
  abstract =     "Recently, a novel type of evolutionary algorithms
                 (EAs), called Genetic Network Programming (GNP), has
                 been proposed. Inspired by the complex human brain
                 structures, GNP develops a distinguished directed graph
                 structure for its individual representations,
                 consequently showing an excellent expressive ability
                 for modelling a range of complex problems. This paper
                 is dedicated to reveal GNP's unique features.
                 Accordingly, simplified genetic operators are proposed
                 to highlight such features of GNP, reduce its
                 computational effort and provide better results.
                 Experimental results are presented to confirm its
                 effectiveness over original GNP and several
                 state-of-the-art algorithms.",

Genetic Programming entries for Xianneng Li Wen He Kotaro Hirasawa