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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.
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).
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Wardlaw and Sharif [7] have presented several alternative formulations of a genetic algorithm for reservoir system.
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By the same token, genetic algorithm as an effective non-linear modeling system in artificial intelligence not only searches optima speedily but also searches optima globally [6-9].
Research on financial distress prediction with adaptive genetic fuzzy ... by Xiong, Zhibin / International Journal of Communications, Network and Systems Sciences (IJCNS)
 
 
 
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