Investigation of the Performance of Different Mapping Orders for GE on the Max Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "David Fagan and Miguel Nicolau and Erik Hemberg and 
                 Michael O'Neill and Anthony Brabazon and 
                 Sean McGarraghy",
  title =        "Investigation of the Performance of Different Mapping
                 Orders for GE on the Max Problem",
  booktitle =    "Proceedings of the 14th European Conference on Genetic
                 Programming, EuroGP 2011",
  year =         "2011",
  month =        "27-29 " # apr,
  editor =       "Sara Silva and James A. Foster and Miguel Nicolau and 
                 Mario Giacobini and Penousal Machado",
  series =       "LNCS",
  volume =       "6621",
  publisher =    "Springer Verlag",
  address =      "Turin, Italy",
  pages =        "286--297",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution: poster",
  isbn13 =       "978-3-642-20406-7",
  DOI =          "doi:10.1007/978-3-642-20407-4_25",
  abstract =     "We present an analysis of how the genotype-phenotype
                 map in Grammatical Evolution (GE) can effect
                 performance on the Max Problem. Earlier studies have
                 demonstrated a performance decrease for Position
                 Independent Grammatical Evolution (pige) in this
                 problem domain. In piGE the genotype-phenotype map is
                 changed so that the evolutionary algorithm controls not
                 only what the next expansion will be but also the
                 choice of what position in the derivation tree is
                 expanded next. In this study we extend previous work
                 and investigate whether the ability to change the order
                 of expansion is responsible for the performance
                 decrease or if the problem is simply that a certain
                 order of expansion in the genotype-phenotype map is
                 responsible. We conclude that the reduction of
                 performance in the Max problem domain by pi GE is
                 rooted in the way the genotype-phenotype map and the
                 genetic operators used with this mapping interact.",
  notes =        "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
                 conjunction with EvoCOP2011 EvoBIO2011 and

Genetic Programming entries for David Fagan Miguel Nicolau Erik Hemberg Michael O'Neill Anthony Brabazon Sean McGarraghy