Multi Niche Parallel GP with a Junk-code Migration Model

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

@InProceedings{garcia03,
  author =       "Santiago Garcia and John Levine and Fermin Gonzalez",
  title =        "Multi Niche Parallel GP with a Junk-code Migration
                 Model",
  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 =        "327--334",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-00971-X",
  URL =          "http://www.aiai.ed.ac.uk/~johnl/papers/garcia-eurogp03.ps",
  URL =          "http://citeseer.ist.psu.edu/575183.html",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=327",
  DOI =          "doi:10.1007/3-540-36599-0_30",
  abstract =     "We describe in this paper a parallel implementation of
                 Multi Niche Genetic Programming that we use to test the
                 performance of a modified migration model. Evolutive
                 introns is a technique developed to accelerate the
                 convergence of GP in classification and symbolic
                 regression problems. Here, we will copy into a
                 differentiated subpopulation the individuals that due
                 to the evolution process contain longer Evolutive
                 Introns. Additionally, the multi island model is
                 parallelised in order to speed up convergence. These
                 results are also analysed. Our results prove that the
                 multi island model achieves faster convergence in the
                 three different symbolic regression problems tested,
                 and that the junk-coded subpopulation is not
                 significantly worse than the others, which reinforces
                 our belief in that the important thing is not only
                 fitness but keeping good genetic diversity along all
                 the evolution process. The overhead introduced in the
                 process by the existence of various island, and the
                 migration model is reduced using a multi-thread
                 approach.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops
                 2003",
}

Genetic Programming entries for Santiago Garcia Carbajal John Levine Fermin Gonzalez Martinez

Citations