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fix: some magic
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@ -27,7 +27,7 @@ def evolution_strategy(top_individuals, lambda_, sigma, iterations):
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# Generate the next generation of lambda individuals by recombination
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children = np.concatenate(
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[np.random.permutation(parents) for i in range(lambda_)])
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[np.random.permutation(parents) for i in range(lambda_ // top_individuals)])
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# Add mutation to the children
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mutation = np.random.normal(loc=0, scale=sigma, size=(lambda_, 2))
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