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Encyclopedia > Genetic operators

A genetic operator is a process used in genetic algorithms to maintain genetic diversity.


Genetic variation is a necessity for the process of evolution. Genetic operators used in genetic algorithms are analogous to those which occur in the natural world: survival of the fittest, or selection; asexual or sexual reproduction (crossover, or recombination); and mutation.


  Results from FactBites:
 
Genetic operator - Wikipedia, the free encyclopedia (81 words)
A genetic operator is a process used in genetic algorithms to maintain genetic diversity.
Genetic variation is a necessity for the process of evolution.
Genetic operators used in genetic algorithms are analogous to those which occur in the natural world: survival of the fittest, or selection; asexual or sexual reproduction (crossover, or recombination); and mutation.
Genetic algorithm - Wikipedia, the free encyclopedia (2566 words)
Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, natural selection, and recombination (or crossover).
Genetic algorithms are typically implemented as a computer simulation in which a population of abstract representations (called chromosomes) of candidate solutions (called individuals) to an optimization problem evolves toward better solutions.
As a general rule of thumb genetic algorithms might be useful in problem domains that have a complex fitness landscape as recombination is designed to move the population away from local minima that a traditional hill climbing algorithm might get stuck in.
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