DEAP: Evolutionary Algorithms Made Easy
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{fortin:2012:JMRL,
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author = "Felix-Antoine Fortin and
Francois-Michel {De Rainville} and Marc-Andre Gardner and Marc Parizeau and
Christian Gagne",
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title = "{DEAP}: Evolutionary Algorithms Made Easy",
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journal = "Journal of Machine Learning Research",
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year = "2012",
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volume = "13",
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pages = "2171--2175",
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month = jul,
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keywords = "genetic algorithms, genetic programming, distributed
evolutionary algorithms, software tools",
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ISSN = "1533-7928",
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URL = "http://jmlr.org/papers/v13/",
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URL = "http://www.jmlr.org/papers/volume13/fortin12a/fortin12a.pdf",
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code_url = "https://github.com/deap",
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size = "5 pages",
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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 http://deap.gel.ulaval.ca, DEAP is an
open source project under an LGPL license.",
-
notes = "http://deap.gel.ulaval.ca
http://jmlr.org/",
- }
Genetic Programming entries for
Felix-Antoine Fortin
Francois-Michel De Rainville
Marc-Andre Gardner
Marc Parizeau
Christian Gagne
Citations