Optimization via Parameter Mapping with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Joao C. F. Pujol and Riccardo Poli",
  title =        "Optimization via Parameter Mapping with Genetic
  booktitle =    "Parallel Problem Solving from Nature - PPSN VIII",
  year =         "2004",
  editor =       "Xin Yao and Edmund Burke and Jose A. Lozano and 
                 Jim Smith and Juan J. Merelo-Guerv\'os and 
                 John A. Bullinaria and Jonathan Rowe and 
                 Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
  volume =       "3242",
  pages =        "382--390",
  series =       "LNCS",
  address =      "Birmingham, UK",
  publisher_address = "Berlin",
  month =        "18-22 " # sep,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, DE, PSO",
  ISBN =         "3-540-23092-0",
  URL =          "http://cswww.essex.ac.uk/staff/rpoli/papers/ppsnpujol2004.pdf",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3242&spage=382",
  DOI =          "doi:10.1007/b100601",
  abstract =     "parameter optimisation that uses a novel
                 representation for the parameters to be optimized. By
                 using genetic programming, the new method evolves
                 functions that transform initial random values for the
                 parameters into optimal ones. This new representation
                 allows the incorporation of knowledge about the problem
                 being solved. 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 =        "PPSN-VIII",

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli