Evolving Program Trees with Limited Scope Variable Declarations

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

  title =        "Evolving Program Trees with Limited Scope Variable
  author =       "Tom Castle and Colin G. Johnson",
  pages =        "2250--2257",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  address =      "Brisbane, Australia",
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  URL =          "http://www.cs.kent.ac.uk/pubs/2012/3213/index.html",
  DOI =          "doi:10.1109/CEC.2012.6256547",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, imperative,
                 sfgp, variables",
  abstract =     "Variables are a fundamental component of computer
                 programs. However, rarely has the construction of new
                 variables been left to the evolutionary process of a
                 tree- based Genetic Programming system. We present a
                 series of modifications to an existing GP approach to
                 allow the evolution of high-level imperative programs
                 with limited scope variables. We make use of several
                 new program constructs made possible by the
                 modifications and experimentally compare their use. Our
                 results suggest the impact of variable declarations is
                 problem dependent, but can potentially improve
                 performance. It is proposed that the use of variable
                 declarations can reduce the degree of insight required
                 into potential solutions.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",

Genetic Programming entries for Tom Castle Colin G Johnson