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Domains 3-D Sensing and Modelling Virtual Reality and Simulation Infrared Thermography and Vision Video Sequence Processing Biologic Vision Cognitive Vision Projects E-Inclusion COBVIS-D Auto21 SKALPEL-ICT COGNOIS VERTEX VRES Researchers Christian Gagné Xavier Maldague Denis Poussart Simon Gagné Marc Parizeau Robert Bergevin André Zaccarin Jean-François Lalonde Abdel Hakim Bendada Dates Reverse chronological order |
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DEAP -- Enabling Nimbler EvolutionsAbstract - DEAP is a Distributed Evolutionary Algorithm (EA) framework written in Python and designed to help researchers developing custom evolutionary algorithms. Its design philosophy promotes explicit algorithms and transparent data structures, in contrast with most other evolutionary computation softwares that tend to encapsulate standardized algorithms using the black-box approach. This philosophy sets it apart as a rapid prototyping framework for testing of new ideas in EA research. An executable notebook version of this paper is available at https://github.com/DEAP/notebooks. ![]() Bibtex:
@article{Rainville1027, Last modification: 2014/02/20 by cgagne |
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