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At the moment, there is no functional difference between uniform and scattered crossover Both methods result in each gene having an identical 50% chance of being inherited from either parent. The distinction is entirely computational. For uniform crossover, it utilizes a standard Python for loop to iterate through every gene. For scattered crossover, it processes the entire chromosome at once. A future will be supported to favor a parent over another. Instead of having 50/50 chance to select a gene from the 2 parents, a 70/30 split might happen. This is well-applied in scattered crossover than uniform for performance. |
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What is the difference between "uniform" and "scattered" crossovers? Their documentation sound very similar.
By understanding is that if I have two parents abcd and ABCD, then they will both produce something like aBcD or AbcD randomly. My only other guess would be the scattered might move genes from one place to another (e.g., producing DbAc).
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