About: Distributed Evolutionary Algorithms in Python

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Distributed Evolutionary Algorithms in Python (DEAP) is an evolutionary computation framework for rapid prototyping and testing of ideas.It incorporates the data structures and tools required to implement most common evolutionary computation techniques such as genetic algorithm, genetic programming, evolution strategies, particle swarm optimization, differential evolution and estimation of distribution algorithm. It is developed at Université Laval since 2009.

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rdfs:comment	Distributed Evolutionary Algorithms in Python (DEAP) is an evolutionary computation framework for rapid prototyping and testing of ideas.It incorporates the data structures and tools required to implement most common evolutionary computation techniques such as genetic algorithm, genetic programming, evolution strategies, particle swarm optimization, differential evolution and estimation of distribution algorithm. It is developed at Université Laval since 2009.
foaf:name	Distributed Evolutionary Algorithms in Python
foaf:homepage	http://deap.gel.ulaval.ca/
genre	dbpedia:Evolutionary_computation
latest release version	1.0.0
license	dbpedia:GNU_Lesser_General_Public_License
operating system	dbpedia:Cross-platform
programming language	Python
status	Active

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