Page-based linear genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Heywood:2000:PBGP,
  author =       "M. I. Heywood and A. N. Zincir-Heywood",
  title =        "Page-based linear genetic programming",
  booktitle =    "Systems, Man, and Cybernetics, 2000 IEEE International
                 Conference",
  year =         "2000",
  volume =       "5",
  pages =        "3823--3828",
  address =      "Nashville, TN, USA",
  month =        "8-11 " # oct,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, page-based
                 linear genetic programming, evolutionary computation,
                 computational overheads, fitness of individuals,
                 crossover operator, equal length code fragments,
                 register-machine, a priori internal register external
                 output definitions",
  ISBN =         "0-7803-6583-6",
  URL =          "http://ieeexplore.ieee.org/iel5/7099/19140/00886606.pdf?isNumber=19140",
  DOI =          "doi:10.1109/ICSMC.2000.886606",
  size =         "6 pages",
  abstract =     "Genetic programming arguably represents the most
                 general form of evolutionary computation. However, such
                 generality is not without significant computational
                 overheads. Particularly, the cost of evaluating the
                 fitness of individuals in any form of evolutionary
                 computation represents the single most significant
                 computational bottleneck. A less widely acknowledged
                 computational overhead in GP involves the
                 implementation of the crossover operator. To this end a
                 page-based definition of individuals is used to
                 restrict crossover to equal length code fragments.
                 Moreover, by using a register-machine context, the
                 significance of a priori internal register external
                 output definitions is emphasized.",
}

Genetic Programming entries for Malcolm Heywood Nur Zincir-Heywood

Citations