A Highly Efficient Function Optimization with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Joao C. F. Pujol and Riccardo Poli",
  title =        "A Highly Efficient Function Optimization with Genetic
  booktitle =    "Late Breaking Papers at the 2004 Genetic and
                 Evolutionary Computation Conference",
  year =         "2004",
  editor =       "Maarten Keijzer",
  address =      "Seattle, Washington, USA",
  month =        "26 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://cswww.essex.ac.uk/staff/rpoli/papers/geccopujol2004.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/LBP049.pdf",
  abstract =     "This paper describes a new approach for function
                 optimisation that uses a novel representation for the
                 parameters to be optimised. By using genetic
                 programming using, the new method evolves functions
                 that transform initial random values for the parameters
                 into optimal ones. Moreover, the new approach addresses
                 the scalability problem by using a representation that,
                 in principle, is independent of the size of the problem
                 being addressed. Promising results are reported,
                 comparing the new method with differential evolution
                 and particle swarm optimisation on a test suite of
                 benchmark problems.",
  notes =        "Part of \cite{keijzer:2004:GECCO:lbp}",

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli