Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Jing Liu and Wenlong Fu and Weicai Zhong",
  title =        "Hybrid Genetic Programming for Optimal Approximation
                 of High Order and Sparse Linear Systems",
  booktitle =    "Proceedings of the 7th International Conference on
                 Simulated Evolution And Learning (SEAL '08)",
  year =         "2008",
  editor =       "Xiaodong Li and Michael Kirley and Mengjie Zhang and 
                 David G. Green and Victor Ciesielski and 
                 Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and 
                 Kalyanmoy Deb and Kay Chen Tan and 
                 J{\"u}rgen Branke and Yuhui Shi",
  volume =       "5361",
  series =       "Lecture Notes in Computer Science",
  pages =        "462--472",
  address =      "Melbourne, Australia",
  month =        dec # " 7-10",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-89693-7",
  DOI =          "doi:10.1007/978-3-540-89694-4_47",
  abstract =     "A Hybrid Genetic Programming (HGP) algorithm is
                 proposed for optimal approximation of high order and
                 sparse linear systems. With the intrinsic property of
                 linear systems in mind, an individual in HGP is
                 designed as an organization that consists of two cells.
                 The nodes of the cells include a function and a
                 terminal. All GP operators are designed based on
                 organizations. In the experiments, three kinds of
                 linear system approximation problems, namely stable,
                 unstable, and high order and sparse linear systems, are
                 used to test the performance of HGP. The experimental
                 results show that HGP obtained a good performance in
                 solving high order and sparse linear systems.",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  notes =        "Institute of Intelligent Information Processing,
                 Xidian University Xi'an, China",

Genetic Programming entries for Jing Liu Wenlong Fu Weicai Zhong