Cleaner comments
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@ -204,16 +204,15 @@ class Parent_Selection:
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in range(len(ga.population))
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]
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sum_weights = sum(weights)
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offset = sum(weights) * (1 - ga.selection_probability)
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# Rescale and adjust using selection_probability
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# so that
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# if selection_probability is high,
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# parents are more likely selected based on fitness.
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# if selection_probability is low,
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# parents are more likely selected based on randomness.
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# Rescale and adjust using selection_probability so that
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# if selection_probability is high, a low offset is used,
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# making selection mostly based on fitness.
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# if selection_probability is low, a high offset is used,
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# inflating the weights so that everyone has a more equal chance.
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weights = [
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weight / sum_weights - ga.selection_probability + 1
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weight + offset
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for weight
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in weights
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]
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