I made this repository to create a special container with lots of python tools to develop programs with Evolutionary Algorithms and Machine Learning.
$ docker build -t ga github.com/h3dema/evolutionary-container.git
$ docker run -u ga -it ga
This container has two Genetic Algorithms packages -- pyevolve and Deep.
If you want more information about Pyevolve, go to the documentation on pyevolve site.
DEAP is an evolutionary computation framework for rapid prototyping and testing. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelization mechanism such as multiprocessing and SCOOP.
See more on deap site.
There is a lot of good material on the internet.
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A Field Guide to Genetic Programming -- An e-book, freely downloadable under a Creative Commons license. Written in 2008.
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A Genetic Algorithm Tutorial by Darrell Whitley Computer Science Department Colorado State University
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Evolutionary algorithms and Genetic Algorithms by Massimiliano Patacchiola
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Introduction to Genetic Algorithms -- provides an introduction of GA by Marek Obitko. There is a version in portuguese in Introdução aos Algoritmos Genéticos
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[Wikipedia: Genetic algorithm}(https://en.wikipedia.org/wiki/Genetic_algorithm)
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Algoritmos genéticos (AG's) - notas de aula