Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System

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  author =       "Miguel Nicolau and Anne Auger and Conor Ryan",
  title =        "Functional Dependency and Degeneracy: Detailed
                 Analysis of the {GAuGE} System",
  booktitle =    "Evolution Artificielle, 6th International Conference",
  year =         "2003",
  editor =       "Pierre Liardet and Pierre Collet and Cyril Fonlupt and 
                 Evelyne Lutton and Marc Schoenauer",
  volume =       "2936",
  series =       "Lecture Notes in Computer Science",
  pages =        "15--26",
  address =      "Marseilles, France",
  month =        "27-30 " # oct,
  publisher =    "Springer",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Evolution, grammatical evolution",
  ISBN =         "3-540-21523-9",
  DOI =          "doi:10.1007/b96080",
  abstract =     "We explore the mapping process of the GAuGE system, a
                 recently introduced position-independent genetic
                 algorithm, that encodes both the positions and the
                 values of individuals at the genotypic level. A
                 mathematical formalisation of its mapping process is
                 presented, and is used to characterise the functional
                 dependency feature of the system. An analysis of the
                 effect of degeneracy in this functional dependency is
                 then performed, and a mathematical theorem is given,
                 showing that the introduction of degeneracy reduces the
                 position specification bias of individuals.
                 Experimental results are given, that backup these
  bibsource =    "DBLP,",
  notes =        "EA'03",

Genetic Programming entries for Miguel Nicolau Anne Auger Conor Ryan