Aspects


vs


Crossover

In genetic algorithms, crossover is a genetic operator used to vary the programming of a chromosome or chromosomes from one generation to the next.

Mutation

Mutation refers to a genetic operator used to maintain genetic diversity from one generation of a population to the next

Others

Quality Example
Typically easier

"Mutation is typically easier to do this with than crossover"

from question "Dynamic fitness function for genetic algorithm"

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