Category:Evolutionary algorithms: Difference between revisions

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An '''evolutionary algorithm''' (also '''EA''', '''Artificial Evolution''') is an [[metaheuristic]] [[optimization (computer science)|optimization]] [[algorithm]] using evolutionary techniques inspired by mechanisms from [[biological evolution]] such as natural [[reproduction]], [[mutation]], [[recombination]] and [[survival of the fittest]] to find an optimal configuration for a specific system within specific constraints.

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An '''evolutionary algorithm''' (also '''EA''', '''Artificial Evolution''') is ana [[metaheuristicheuristic]] [[Program optimization (computer science)|optimization]] [[algorithm]] using evolutionary techniques inspired by mechanisms from [[biologicalEvolution|organic evolution]] such as natural [[reproductionmutation]], [[mutation]],genetic [[recombination|recombination]], and [[survival of thenatural fittestselection]] to find an optimal configuration for a specific system within specific constraints.

[[Category:Machine learning]]

[[Category:OptimizationBioinformatics algorithms]]

[[Category:ArtificialOptimization lifealgorithms and methods]]

[[Category:ComputationalEvolutionary sciencecomputation]]

[[Category:EvolutionArtificial life models]]

[[Category:Nature-inspired metaheuristics]]