New Factorial Design Theoretic Crossover Operator for Parametrical Problem

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

@InProceedings{chan03,
  author =       "Kit Yan Chan and M. Emin Aydin and 
                 Terence C. Fogarty",
  title =        "New Factorial Design Theoretic Crossover Operator for
                 Parametrical Problem",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "22--33",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-00971-X",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=22",
  DOI =          "doi:10.1007/3-540-36599-0_3",
  abstract =     "Recent research shows that factorial design methods
                 improve the performance of the crossover operator in
                 evolutionary computation. However the methods employed
                 so far ignore the effects of interaction between genes
                 on fitness, i.e. ``epistasis''. Here we propose the
                 application of a systematic method for interaction
                 effect analysis to enhance the performance of the
                 crossover operator. It is shown empirically that the
                 proposed method significantly outperforms existing
                 crossover operators on benchmark problems with high
                 interaction between the variables.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops
                 2003",
}

Genetic Programming entries for Kit Yan Chan Mehmet Emin Aydin Terence C Fogarty

Citations