Evolutionary computation and the c-value paradox

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Sean Luke",
  title =        "Evolutionary computation and the c-value paradox",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "1",
  ISBN =         "1-59593-010-8",
  pages =        "91--97",
  address =      "Washington DC, USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p91.pdf",
  DOI =          "doi:10.1145/1068009.1068022",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Life, Evolutionary Robotics, Adaptive Behaviour, code
                 bloat, code growth, c-value paradox, evolutionary
                 genetics, experimentation, theoretical biology",
  size =         "7 pages",
  abstract =     "The C-value Paradox is the name given in biology to
                 the wide variance in and often very large amount of DNA
                 in eukaryotic genomes and the poor correlation between
                 DNA length and perceived organism complexity. Several
                 hypotheses exist which purport to explain the Paradox.
                 Surprisingly there is a related phenomenon in
                 evolutionary computation, known as code bloat, for
                 which a different set of hypotheses has arisen. This
                 paper describes a new hypothesis for the Cvalue Paradox
                 derived from models of code bloat. The new explanation
                 is that there is a selective bias in preference of
                 genetic events which increase DNA material over those
                 which decrease it. The paper suggests one possible
                 concrete mechanism by which this may occur: deleting
                 strands of DNA is more likely to damage genomic
                 material than migrating or copying strands. The paper
                 also discusses other hypotheses in biology and in
                 evolutionary computation, and provides a simulation
                 example as a proof of concept.",
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052",

Genetic Programming entries for Sean Luke