Category:Evolutionary algorithms: Difference between revisions

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An '''evolutionary algorithm''' ('''EA''') is a [[heuristic]] [[optimization (computer science)|optimization]] [[algorithm]] using techniques inspired by mechanisms from [[organic evolution]] such as [[mutation]], [[genetic recombination|recombination]], and [[natural selection]] to find an optimal configuration for a specific system within specific constraints.
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{{Cat main|Evolutionary algorithms}}
{{Commons cat|Evolutionary algorithmsmain}}
An '''evolutionary algorithm''' ('''EA''') is a [[heuristic]] [[Program optimization (computer science)|optimization]] [[algorithm]] using techniques inspired by mechanisms from [[Evolution|organic evolution]] such as [[mutation]], [[genetic recombination|recombination]], and [[natural selection]] to find an optimal configuration for a specific system within specific constraints.
 
[[Category:Machine learning]]
[[Category:AlgorithmsBioinformatics algorithms]]
[[Category:Optimization algorithms and methods]]
[[Category:Evolutionary computation]]
[[Category:Artificial life models]]
[[Category:DigitalNature-inspired organismsmetaheuristics]]