Does Genetic Programming Inherently Adopt Structured Design Techniques?

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

  author =       "John M. Hall and Terence Soule",
  title =        "Does Genetic Programming Inherently Adopt Structured
                 Design Techniques?",
  booktitle =    "Genetic Programming Theory and Practice {II}",
  year =         "2004",
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and 
                 Bill Worzel",
  chapter =      "10",
  pages =        "159--174",
  address =      "Ann Arbor",
  month =        "13-15 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, design,
                 function choice, root node",
  ISBN =         "0-387-23253-2",
  URL =          "",
  DOI =          "doi:10.1007/0-387-23254-0_10",
  abstract =     "Basic genetic programming (GP) techniques allow
                 individuals to take advantage of some basic top-down
                 design principles. In order to evaluate the
                 effectiveness of these techniques, we define a design
                 as an evolutionary frozen root node. We show that GP
                 design converges quickly based primarily on the best
                 individual in the initial random population. This leads
                 to speculation of several mechanisms that could be used
                 to allow basic GP techniques to better incorporate
                 top-down design principles.",
  notes =        "part of \cite{oreilly:2004:GPTP2}

                 A version of Santa Fe trail artificial ant, 6-even
                 parity (given XOR!), intertwined spirals, sin(x),

                 GP robust to forced choice of root node. Differences in
                 means small compared to variation between runs. In
                 population of 100 root node almost always converges.",

Genetic Programming entries for John M Hall Terence Soule