A Generic Framework for Building Dispersion Operators in the Semantic Space

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

@InProceedings{Oliveira:2016:GPTP,
  author =       "Luiz Otavio V. B. Oliveira and 
                 Fernando E. B. Otero and Gisele L. Pappa",
  title =        "A Generic Framework for Building Dispersion Operators
                 in the Semantic Space",
  booktitle =    "Genetic Programming Theory and Practice XIV",
  year =         "2016",
  editor =       "Rick Riolo and Bill Worzel and Brian Goldman and 
                 Bill Tozier",
  address =      "Ann Arbor, USA",
  month =        "19-21 " # may,
  publisher =    "Springer",
  note =         "Forthcoming",
  keywords =     "genetic algorithms, genetic programming, geometric
                 semantic genetic programming, dispersion operators,
                 diversity",
  isbn13 =       "978-3-319-97087-5",
  URL =          "http://kar.kent.ac.uk/59297/",
  URL =          "http://kar.kent.ac.uk/59297/1/oliveira-gptp2016_preprint.pdf",
  URL =          "https://www.springer.com/us/book/9783319970875",
  size =         "15 pages",
  abstract =     "This chapter proposes a generic framework to build
                 geometric dispersion (GD) operators for Geometric
                 Semantic Genetic Programming in the context of symbolic
                 regression, followed by two concrete instantiations of
                 the framework: a multiplicative geometric dispersion
                 operator and an additive geometric dispersion operator.
                 These operators move individuals in the semantic space
                 in order to balance the population around the target
                 output in each dimension, with the objective of
                 expanding the convex hull defined by the population to
                 include the desired output vector. An experimental
                 analysis was conducted in a testbed composed of sixteen
                 datasets showing that dispersion operators can improve
                 GSGP search and that the multiplicative version of the
                 operator is overall better than the additive version.",
  notes =        "

                 Part of \cite{Tozier:2016:GPTP} to be published after
                 the workshop",
}

Genetic Programming entries for Luiz Otavio Vilas Boas Oliveira Fernando Esteban Barril Otero Gisele L Pappa

Citations