Experimental Study of Isolated Multipopulation Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Francisco Fernandez and Marco Tomassini and 
                 J. M. Sanchez",
  title =        "Experimental Study of Isolated Multipopulation Genetic
  booktitle =    "Proceedings of the 26th Annual Conference of the IEEE
                 Industrial Electronics Society",
  volume =       "1697",
  pages =        "2672--2677 vol.4",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-6456-2",
  year =         "2000",
  month =        oct,
  address =      "Nagoya, Japan",
  keywords =     "genetic algorithms, genetic programming, classic
                 genetic programming, effort, fitness, individual
                 distribution, isolated multipopulation genetic
                 programming, populations",
  URL =          "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00972420",
  DOI =          "doi:10.1109/IECON.2000.972420",
  abstract =     "In this paper we present results obtained when
                 comparing classic genetic programming (GP) with the
                 isolated multipopulation version. Our first discovery
                 was that sometimes, given a certain number of
                 individuals, it is useful to distribute them among
                 several populations even when no communication is
                 allowed. This consequently lead to research
                 concentrating on three main questions: firstly, how to
                 distribute individuals according to the problem in
                 hand; secondly, how many populations must be employed
                 in proportion to the effort and fitness involved when
                 solving a problem; and finally, how to use isolated
                 multipopulation GP in the classification of problems.",

Genetic Programming entries for Francisco Fernandez de Vega Marco Tomassini Juan Manuel Sanchez Perez