A genetic operator is an operator used in genetic algorithms to maintain genetic diversity, known as Mutation (genetic algorithm) and to combine existing solutions into others, Crossover (genetic algorithm). The main difference between them is that the mutation operators operate on one chromosome, that is, they are unary, while the crossover operators are binary operators.
Genetic variation is a necessity for the process of evolution. Genetic operators used in genetic algorithms are analogous to those in the natural world: survival of the fittest, or selection; reproduction (crossover, also called recombination); and mutation.
Read more about Genetic Operator: Types of Operators
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