approximating image using genetic algorithm

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Program approximates images using a fix amount of ellipses. MSE stands for the mean squared error of image being worked on vs original image

Made on python for a class in university.

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This is good work. But I am a little bit confused. I can't help but think this is not strictly GA. GA requires fitness biased randomized cross-overs across the previous generation. This fits the definition of a randomized hill climb, or rather a beam search given the multiple candidates.

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