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DEAP

swMATH ID: 8467
Software Authors: Fortin, Félix-Antoine; De Rainville, François-Michel; Gardner, Marc-André; Parizeau, Marc; Gagné, Christian
Description: DEAP: evolutionary algorithms made easy. 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.
Homepage: https://code.google.com/p/deap/
Keywords: distributed evolutionary algorithms; software tools
Related Software: Python; Scikit; SciPy; PyTorch; NumPy; Matplotlib; Keras; Platypus; jMetal; GitHub; Geatpy; PlatEMO; PaGMO/PyGMO; MOEA; inspyred; Dask; PaGMO; jMetalPy; pymoo; EvoloPy
Referenced in: 20 Publications

Standard Articles

1 Publication describing the Software Year
DEAP: evolutionary algorithms made easy
Fortin, Félix-Antoine; De Rainville, François-Michel; Gardner, Marc-André; Parizeau, Marc; Gagné, Christian
2012

Referencing Publications by Year