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
Famous quotes containing the word genetic:
“Nature, we are starting to realize, is every bit as important as nurture. Genetic influences, brain chemistry, and neurological development contribute strongly to who we are as children and what we become as adults. For example, tendencies to excessive worrying or timidity, leadership qualities, risk taking, obedience to authority, all appear to have a constitutional aspect.”
—Stanley Turecki (20th century)