A comparative study of linear encoding in Genetic Programming

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

  author =       "Yuttana Suttasupa and Suppat Rungraungsilp and 
                 Suwat Pinyopan and Pravit Wungchusunti and 
                 Prabhas Chongstitvatana",
  title =        "A comparative study of linear encoding in Genetic
  booktitle =    "9th International Conference on ICT and Knowledge
                 Engineering (ICT Knowledge Engineering 2011)",
  year =         "2012",
  month =        "12-13 " # jan,
  pages =        "13--17",
  size =         "5 pages",
  abstract =     "Genetic Programming is a widely used technique to
                 solve many optimisation problems. The original
                 representation of a solution is a tree structure. To
                 improve its search capability there are many proposals
                 for encoding data structure of a solution of Genetic
                 Programming as a linear code. However there are a few
                 work in comparing between these proposals. This work
                 presents a systematic way to compare three popular
                 techniques for linear encoding in Genetic Programming.
                 They are Linear Genetic Programming, Gene Expression
                 Programming and Multi-Expression Programming. Ten
                 problems in Symbolic Expressions are defined and are
                 used as benchmarks to compare the effectiveness of
                 these proposals against the baseline standard Genetic
                 Programming. The metrics of comparison are the Success
                 Rate and the absolute error. The discussion and
                 comparison of the strength and weakness of each method
                 are also presented.",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Multi-Expression Programming,
                 absolute error, data structure encoding, linear code,
                 linear encoding, linear genetic programming,
                 optimisation problem, success rate, symbolic
                 expressions, tree structure, tree data structures",
  DOI =          "doi:10.1109/ICTKE.2012.6152392",
  notes =        "Also known as \cite{6152392}",

Genetic Programming entries for Yuttana Suttasupa Suppat Rungraungsilp Suwat Pinyopan Pravit Wungchusunti Prabhas Chongstitvatana