A String Representation Methodology to Generate Syntactically Valid Genetic Programs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Socrates Torres and Monica Larre and Josi Torres",
  title =        "A String Representation Methodology to Generate
                 Syntactically Valid Genetic Programs",
  year =         "2002",
  month =        "12-16 " # may,
  booktitle =    "WSEAS IMCCAS-ISA-SOSM and MEM-MCP",
  pages =        "2861--2866",
  address =      "Cancun, Mexico",
  organisation = "The World Scientific and Engineering Academy and
                 Society (WSEAS)",
  keywords =     "genetic algorithms, genetic programming, String
                 Representation, Symbolic Regression",
  URL =          "http://www.wseas.us/e-library/conferences/mexico2002/papers/286.pdf",
  size =         "6 pages",
  abstract =     "The need to generate not only syntactically valid
                 Genetic Programs but also programs which remain
                 syntactically valid, even after the applying of the
                 crossover and the mutation operators is crucial for the
                 good evolving of the genetic programs. In this sense,
                 programs shall be represented such way that constants,
                 variables and operators inherent to the problem be
                 correctly represented during all the evolving process
                 long. Actually, a string representation does not get
                 the above requirements due to the syntactically wrong
                 programs produced by genetic operators. This paper
                 propose a String Representation Methodology to generate
                 syntactically valid Genetic Programs. The Symbolic
                 Regression is the area which is showed our
  notes =        "???Also published in WSEAS TRANSACTIONS on SYSTEMS
                 Issue 2, Volume 1, April 2002 ISSN 1109-2777,pages

Genetic Programming entries for Socrates Torres Monica Larre Josi Torres