Parallel Genetic Programming Induction of Binary Decision Diagrams

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

  author =       "Christian Miccio and Eduardo Sanchez and 
                 Marco Tomassini",
  title =        "Parallel Genetic Programming Induction of Binary
                 Decision Diagrams",
  institution =  "Ecole Polytechnique Federal de Lausanne, EPFL",
  year =         "1995",
  number =       "7",
  address =      "Switzerland",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "8 pages",
  abstract =     "Genetic programming is a new technique for machine
                 learning, program induction and optimization loosely
                 based on an evolutionary paradigm. Genetic programming
                 is easily amenable to parallel computing which help
                 relieve the intrinsic slowness of the approach. We
                 describe a parallel implementation of genetic
                 programming on the T3D computer. We apply the system to
                 a problem of induction of binary decision diagrams used
                 in logical circuit design. It is shown that the results
                 depend in a critical way on the representation of the
                 decision diagrams and that the parallel implementation
                 is able to find the correct solution with less
                 computational effort than the sequential version.",
  notes =        "miccio_1995_pGPiBDD.pdf appears to be copy of web

Genetic Programming entries for Christian Miccio Eduardo Sanchez Marco Tomassini