- author = "Francois-Michel {De Rainville} and Felix-Antoine Fortin and Marc-Andre Gardner and Marc Parizeau and Christian Gagne",
- title = "{DEAP}: A Python Framework for Evolutionary Algorithms",
- booktitle = "GECCO 2012 Evolutionary Computation Software Systems (EvoSoft)",
- year = "2012",
- editor = "Stefan Wagner and Michael Affenzeller",
- pages = "85--92",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Philadelphia, Pennsylvania, USA",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, Parallel Evolutionary Algorithms, Software Tools, Open BEAGLE, DEAP, Distributed Evolutionary Algorithms in Python",
- isbn13 = "978-1-4503-1178-6",
-
DOI = "
10.1145/2330784.2330799",
-
code_url = "
https://github.com/deap",
- size = "8 pages",
- abstract = "DEAP (Distributed Evolutionary Algorithms in Python) 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 type of frameworks. It also incorporates easy parallelism where users need not concern themselves with gory implementation details like synchronisation and load balancing, only functional decomposition. Several examples illustrate the multiple properties of DEAP.",
-
notes = "Also known as \cite{2330799} Distributed at
GECCO-2012.
ACM Order Number 910122.",
