Beneficial Aspects of Neutrality in GP

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

@InProceedings{Lopez:gecco05lbp,
  author =       "Edgar {Galvan Lopez} and Katya {Rodriguez Vazquez} and 
                 Riccardo Poli",
  title =        "Beneficial Aspects of Neutrality in GP",
  booktitle =    "Late breaking paper at Genetic and Evolutionary
                 Computation Conference {(GECCO'2005)}",
  year =         "2005",
  month =        "25-29 " # jun,
  editor =       "Franz Rothlauf",
  address =      "Washington, D.C., USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005lbp/papers/45-lopez.pdf",
  keywords =     "genetic algorithms, genetic programming, EHW",
  abstract =     "We propose a new approach, called Multiple Outputs in
                 a Single Tree (MOST), to Genetic Programming. The idea
                 of this approach is to specify explicitly Neutrality
                 and study how this improves the evolutionary process.
                 For this sake, we have used several evolvable hardware
                 problems of different complexity taken from the
                 literature. Our results indicate that our approach has
                 a better overall performance in terms of consistency to
                 reach feasible solutions",
  notes =        "Distributed on CD-ROM at GECCO-2005

                 ",
}

Genetic Programming entries for Edgar Galvan Lopez Katya Rodriguez-Vazquez Riccardo Poli

Citations