Saving computational effort in genetic programming by means of plagues

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "F. Fernandez and M. Tomassini and L. Vanneschi",
  title =        "Saving computational effort in genetic programming by
                 means of plagues",
  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
                 Computation CEC2003",
  editor =       "Ruhul Sarker and Robert Reynolds and 
                 Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
                 Tom Gedeon",
  pages =        "2042--2049",
  year =         "2003",
  publisher =    "IEEE Press",
  address =      "Canberra",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "8-12 " # dec,
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
                 (IEAust), Evolutionary Programming Society (EPS),
                 Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming, Biological
                 cells, Computational efficiency, Computer science, Data
                 structures, Evolutionary computation, Proposals, Size
                 control, Tree data structures, computational
                 complexity, computational cost, computational effort,
                 computing resources, computing time, evolutionary
  ISBN =         "0-7803-7804-0",
  DOI =          "doi:10.1109/CEC.2003.1299924",
  abstract =     "A new technique for saving computing resources when
                 using Genetic Programming is presented in this work.
                 Instead of directly fighting bloat -the main factor
                 explaining the large computational cost required for
                 the evaluation of generations- by acting on
                 individuals, we apply a new operator to the whole
                 population: the plague. By removing some individuals
                 every generation, we compensate for the increase in
                 size of individuals, thus saving computing time when
                 looking for solutions.",
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
                 the EPS, and the IEE.",

Genetic Programming entries for Francisco Fernandez de Vega Marco Tomassini Leonardo Vanneschi