#local-optima

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What is crossover mainly good for in a genetic algorithm?

Making a small random change to one individual so that the search keeps exploring1
Combining parts of different parents, which can escape a local maximum2
Copying the fittest individual unchanged into the next generation3
Turning raw fitness into selection probabilities, for example by rank4

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