Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{Wilson:PPSN:2006,
  author =       "Garnett Wilson and Malcolm Heywood",
  title =        "Probabilistic Adaptive Mapping Developmental Genetic
                 Programming ({PAM} {DGP}): {A} New Developmental
                 Approach",
  booktitle =    "Parallel Problem Solving from Nature - PPSN IX",
  year =         "2006",
  editor =       "Thomas Philip Runarsson and Hans-Georg Beyer and 
                 Edmund Burke and Juan J. Merelo-Guervos and 
                 L. Darrell Whitley and Xin Yao",
  volume =       "4193",
  pages =        "751--760",
  series =       "LNCS",
  address =      "Reykjavik, Iceland",
  publisher_address = "Berlin",
  month =        "9-13 " # sep,
  publisher =    "Springer-Verlag",
  ISBN =         "3-540-38990-3",
  keywords =     "genetic algorithms, genetic programming",
  doi =          "doi:10.1007/11844297_76",
  size =         "10 pages",
  abstract =     "Developmental Genetic Programming (DGP) algorithms
                 have been introduced where the search space for a
                 problem is divided into genotypes and corresponding
                 phenotypes that are connected by a mapping (or genetic
                 code). Current implementations of this concept involve
                 evolution of the mappings in addition to the
                 traditional evolution of genotypes. We introduce the
                 latest version of Probabilistic Adaptive Mapping DGP
                 (PAM DGP), a robust and highly customisable algorithm
                 that overcomes performance problems identified for the
                 latest competing adaptive mapping algorithm. PAM DGP is
                 then shown to outperform the competing algorithm on two
                 non-trivial regression benchmarks.",
  notes =        "PPSN-IX,

                 MAX and two box problems",
}

Genetic Programming entries for Garnett Carl Wilson Malcolm Heywood