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Genetic Algorithms
(redirected from Genetic algorithm)

   Also found in: Acronyms, Encyclopedia, Wikipedia 0.01 sec.
Genetic Algorithms
Models that optimize rules by mimicking the Darwinian Law of survival of the fittest. A set of rules is chosen from those that work the best. The weakest are discarded. In addition, two successful rules can be combined (the equivalent to genetic cross-overs) to produce offspring rules. The offspring can replace the parents, or they will be discarded if less successful than the parents. Mutation is also accomplished by randomly changing elements. Mutation and cross-over occur with low probability, as in nature.


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Wardlaw and Sharif [7] have presented several alternative formulations of a genetic algorithm for reservoir system.
9781584886297 Genetic algorithms and genetic programming; modern concepts and practical applications.
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].
 
 
 
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