Parse Tree Position Measuring in Distributed Genetic Programming

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

@Article{Rubliauskas:2004:ITC,
  author =       "Dalius Rubliauskas and Giedrius Paulikas and 
                 Bronislovas Kilda",
  title =        "Parse Tree Position Measuring in Distributed Genetic
                 Programming",
  journal =      "Information Technology and Control",
  year =         "2004",
  volume =       "31",
  number =       "2",
  pages =        "24--28",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1392-124X",
  URL =          "http://www.itc.ktu.lt/index.php/ITC/article/view/11847",
  size =         "5 pages",
  abstract =     "Distributed genetic programming (GP) is a step forward
                 in optimization of the GP algorithm, but it suffers
                 from the difficulties of setting the proper
                 distribution parameters. One of the most important
                 parameter classes, responsible for the migration among
                 subpopulations, can be put under the control of
                 flocking. The challenge in applying flocking to
                 distributed GP lies in measuring the positions and
                 distances between the program parse trees. This paper
                 discusses the details of possible methods for measuring
                 the tree position, paying the most attention to
                 resulting distance values that are of the primary goal
                 for a successful combination of distributed GP and
                 flocking.",
  notes =        "Kaunas University of Technology",
}

Genetic Programming entries for Dalius Rubliauskas Giedrius Paulikas Bronislovas Kilda

Citations