Methods to Evolve Legal Phenotypes

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Tina Yu and Peter Bentley",
  title =        "Methods to Evolve Legal Phenotypes",
  booktitle =    "Fifth International Conference on Parallel Problem
                 Solving from Nature",
  year =         "1998",
  editor =       "Agoston E. Eiben and Thomas Back and 
                 Marc Schoenauer and Hans-Paul Schwefel",
  volume =       "1498",
  series =       "LNCS",
  pages =        "280--291",
  address =      "Amsterdam",
  publisher_address = "Berlin",
  month =        "27-30 " # sep,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-65078-4",
  URL =          "",
  DOI =          "doi:10.1007/BFb0056871",
  size =         "12 pages",
  abstract =     "Many optimisation problems require the satisfaction of
                 constraints in addition to their objectives. When using
                 an evolutionary algorithm to solve such problems, these
                 constraints can be enforced in many different ways to
                 ensure that legal solutions (phenotypes) are evolved.
                 We have identified eleven ways to handle constraints
                 within various stages of an evolutionary algorithm.
                 Five of these methods are experimented on a run-time
                 error constraint in a Genetic Programming system. The
                 results are compared and analysed.",
  notes =        "PPSN-V. RN/98/68
                 also \cite{TinaYu:1998:melpLB}",

Genetic Programming entries for Tina Yu Peter J Bentley