genetic algorithm
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genetic algorithm
[jə‚ned·ik ′al·gə‚rith·əm] (computer science)
A search procedure based on the mechanics of natural selection and genetics. Also known as evolutionary strategy.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
genetic algorithm
(GA) An evolutionary algorithm which generates each
individual from some encoded form known as a "chromosome" or
"genome". Chromosomes are combined or mutated to breed new
individuals. "Crossover", the kind of recombination of
chromosomes found in sexual reproduction in nature, is often
also used in GAs. Here, an offspring's chromosome is created
by joining segments choosen alternately from each of two
parents' chromosomes which are of fixed length.
GAs are useful for multidimensional optimisation problems in which the chromosome can encode the values for the different variables being optimised.
Illinois Genetic Algorithms Laboratory (IlliGAL).
GAs are useful for multidimensional optimisation problems in which the chromosome can encode the values for the different variables being optimised.
Illinois Genetic Algorithms Laboratory (IlliGAL).
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