Painting by numbers
---------------------


    * **Topic:** evolutionary algorithms, unsupervised learning
    * **Task A:** 
        1. Implement breeding of two solutions in the algorithm.
        2. Try to find a good cover for the default image of a star.
           Try populations with 10-100 solutions. Also try changing the number of generations
           and see how that affects the final result.
    * **Task B:** 
        1. Try to cover the larger star or Mona Lisa images.
        2. Study the solutions. What kinds of features are easily found by the algorithm
           and what is more difficult?
    * **Template:** `genetic.py <http://users.utu.fi/tejohy/teaching/simu/templates/genetic.py>`_
    * **Data:** 
            - `starman.png <http://users.utu.fi/tejohy/teaching/simu/templates/starman.png>`_
            - `lisa.png <http://users.utu.fi/tejohy/teaching/simu/templates/lisa.png>`_
    * **Further reading:**
        - https://en.wikipedia.org/wiki/Genetic_algorithm
        - https://en.wikipedia.org/wiki/Evolutionary_algorithm

genetic.py
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.. automodule:: genetic
    :members:
    :undoc-members: