Negative Slope Coefficient. A Measure to Characterize Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{eurogp06:VanneschiTomassiniCollardVerel,
  author =       "Leonardo Vanneschi and Marco Tomassini and 
                 Philippe Collard and S\'ebastien V\'erel",
  title =        "Negative Slope Coefficient. A Measure to Characterize
                 Genetic Programming",
  editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and 
                 Steven Gustafson and Anik\'o Ek\'art",
  booktitle =    "Proceedings of the 9th European Conference on Genetic
                 Programming",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3905",
  year =         "2006",
  address =      "Budapest, Hungary",
  month =        "10 - 12 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33143-3",
  pages =        "178--189",
  DOI =          "doi:10.1007/11729976_16",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "Negative slope coefficient has been recently
                 introduced and empirically proven a suitable hardness
                 indicator for some well known genetic programming
                 benchmarks, such as the even parity problem, the
                 binomial-3 and the artificial ant on the Santa Fe
                 trail. Nevertheless, the original definition of this
                 measure contains several limitations. This paper points
                 out some of those limitations, presents a new and more
                 relevant definition of the negative slope coefficient
                 and empirically shows the suitability of this new
                 definition as a hardness measure for some genetic
                 programming benchmarks, including the multiplexer, the
                 intertwined spirals problem and the royal trees.",
  notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
                 conjunction with EvoCOP2006 and EvoWorkshops2006",
}

Genetic Programming entries for Leonardo Vanneschi Marco Tomassini Philippe Collard Sebastien Verel

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