A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Ragalo:2012:NaBIC,
  author =       "Anisa W. Ragalo and Nelishia Pillay",
  booktitle =    "Fourth World Congress on Nature and Biologically
                 Inspired Computing (NaBIC 2012)",
  title =        "A building block conservation and extension mechanism
                 for improved performance in Polynomial Symbolic
                 Regression tree-based Genetic Programming",
  year =         "2012",
  pages =        "123--129",
  address =      "Mexico City",
  month =        "5-9 " # nov,
  DOI =          "doi:10.1109/NaBIC.2012.6402250",
  size =         "7 pages",
  abstract =     "Polynomial Symbolic Regression tree-based Genetic
                 Programming faces considerable obstacles towards the
                 discovery of a global optimum solution; three of these
                 being bloat, premature convergence and a compromised
                 ability to retain building block information. We
                 present a building block conservation and extension
                 strategy that targets these specific obstacles.
                 Experiments conducted demonstrate a superior
                 performance of our strategy relative to the canonical
                 GP. Further our strategy achieves a competitive
                 reduction in bloat.",
  keywords =     "genetic algorithms, genetic programming, convergence,
                 regression analysis, trees (mathematics), building
                 block conservation, canonical GP, extension mechanism,
                 global optimum solution, polynomial symbolic regression
                 tree-based genetic programming, premature convergence,
                 Convergence, Genetics, Materials, Polynomials,
                 Regression tree analysis, Sociology, Statistics,
                 Dynamic Maximum Depth, Local Optima, Premature
                 Convergence, Symbolic Regression",
  notes =        "Also known as \cite{6402250}",
}

Genetic Programming entries for Anisa Waganda Ragalo Nelishia Pillay

Citations