Methods to Evolve Legal Phenotypes

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Tina Yu and Peter Bentley",
  title =        "Methods to Evolve Legal Phenotypes",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1998
  year =         "1998",
  editor =       "John R. Koza",
  pages =        "242--249",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "Stanford, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Stanford University Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  size =         "8 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 =        "GP-98LB see also \cite{TinaYu:1998:melp}",

Genetic Programming entries for Tina Yu Peter J Bentley