Straight Line Programs: A New Linear Genetic Programming Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Cesar L. Alonso and Jorge Puente and 
                 Jose Luis Montana",
  title =        "Straight Line Programs: A New Linear Genetic
                 Programming Approach",
  booktitle =    "20th IEEE International Conference on Tools with
                 Artificial Intelligence, ICTAI '08",
  year =         "2008",
  month =        nov,
  volume =       "2",
  pages =        "517--524",
  keywords =     "genetic algorithms, genetic programming, computer
                 programs, data structure, linear genetic programming
                 approach, program tree encoding, straight line
                 programs, symbolic regression problems, linear
                 programming, regression analysis, tree data
  DOI =          "doi:10.1109/ICTAI.2008.14",
  ISSN =         "1082-3409",
  abstract =     "Tree encodings of programs are well known for their
                 representative power and are used very often in Genetic
                 Programming. In this paper we experiment with a new
                 data structure, named straight line program (slp), to
                 represent computer programs. The main features of this
                 structure are described and new recombination operators
                 for GP related to slp's are introduced. Experiments
                 have been performed on symbolic regression problems.
                 Results are encouraging and suggest that the GP
                 approach based on slp's consistently outperforms
                 conventional GP based on tree structured
  notes =        "Also known as \cite{4669818}",

Genetic Programming entries for Cesar Luis Alonso Jorge Puente Peinador Jose Luis Montana Arnaiz