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Genetic algorithm
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=== Parallel implementations === [[parallel algorithm|Parallel]] implementations of genetic algorithms come in two flavors. Coarse-grained parallel genetic algorithms assume a population on each of the computer nodes and migration of individuals among the nodes. Fine-grained parallel genetic algorithms assume an individual on each processor node which acts with neighboring individuals for selection and reproduction. Other variants, like genetic algorithms for [[online optimization]] problems, introduce time-dependence or noise in the fitness function.
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