Category:Evolutionary algorithms: Difference between revisions
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An '''evolutionary algorithm''' ('''EA''') is a [[heuristic]] [[Program optimization|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:Bioinformatics algorithms]] | |||
[[Category:Optimization algorithms and methods]] | |||
[[Category:Evolutionary computation]] | |||
[[Category:Artificial life models]] | |||
[[Category:Nature-inspired metaheuristics]] | |||
Latest revision as of 16:31, 19 January 2025
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An evolutionary algorithm (EA) is a heuristic optimization algorithm using techniques inspired by mechanisms from organic evolution such as mutation, recombination, and natural selection to find an optimal configuration for a specific system within specific constraints.
Pages in category "Evolutionary algorithms"
The following 7 pages are in this category, out of 7 total.
