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Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

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Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

* [**DEAP: Enabling Nimbler Evolutions**](SIGEvolution.ipynb) (published in [SIGEvolution, volume 6 issue 2](http://sigevolution.org))
* [**Genetic algorithm : OneMax problem**](OneMax.ipynb)

Notebooks by [Luis Martí](http://lmarti.com) for the graduate course [Advanced Evolutionary Computation: Theory and Practice](http://lmarti.com/aec-2014).
* [Elements of Evolutionary Algorithms](https://github.com/lmarti/evolutionary-computation-course/blob/master/AEC.02%20-%20Elements%20of%20Evolutionary%20Algorithms.ipynb)
* [Using genetic algorithms to solve the traveling salesperson problem](https://github.com/lmarti/evolutionary-computation-course/blob/master/AEC.03%20-%20Solving%20the%20TSP%20with%20GAs.ipynb)
* [Understanding evolutionary strategies and covariance matrix adaptation](https://github.com/lmarti/evolutionary-computation-course/blob/master/AEC.04%20-%20Evolutionary%20Strategies%20and%20Covariance%20Matrix%20Adaptation.ipynb)
* [Evolutionary Multi-Objective Optimization](https://github.com/lmarti/evolutionary-computation-course/blob/master/AEC.06%20-%20Evolutionary%20Multi-Objective%20Optimization.ipynb)

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