DEAP: Evolutionary Algorithms Made Easy

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Felix-Antoine Fortin and 
                 Francois-Michel {De Rainville} and Marc-Andre Gardner and Marc Parizeau and 
                 Christian Gagne",
  title =        "DEAP: Evolutionary Algorithms Made Easy",
  journal =      "Journal of Machine Learning Research",
  year =         "2012",
  volume =       "13",
  pages =        "2171--2175",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, distributed
                 evolutionary algorithms, software tools",
  ISSN =         "1533-7928",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "DEAP is a novel evolutionary computation framework for
                 rapid prototyping and testing of ideas. Its design
                 departs from most other existing frameworks in that it
                 seeks to make algorithms explicit and data structures
                 transparent, as opposed to the more common black-box
                 frameworks. Freely available with extensive
                 documentation at, DEAP is an
                 open source project under an LGPL license.",
  notes =        "


Genetic Programming entries for Felix-Antoine Fortin Francois-Michel De Rainville Marc-Andre Gardner Marc Parizeau Christian Gagne