Evolutionary algorithms (machine learning)
Last revised by Candace Makeda Moore
on 10 Mar 2020
Citation, DOI, disclosures and article data
Citation:
Gaillard F, Moore C, Murphy A, Evolutionary algorithms (machine learning). Reference article, Radiopaedia.org (Accessed on 14 Dec 2024) https://doi.org/10.53347/rID-56115
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rID:
56115
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Disclosures:
At the time the article was created Frank Gaillard had no recorded disclosures.
View Frank Gaillard's current disclosures
Last revised:
10 Mar 2020,
Candace Makeda Moore
Disclosures:
At the time the article was last revised Candace Makeda Moore had no recorded disclosures.
View Candace Makeda Moore's current disclosures
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3 times, by
3 contributors -
see full revision history and disclosures
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Evolutionary algorithms are one of the main types of algorithms used in machine learning, emulating natural selection whereby pseudorandom variations in the algorithm are measured against selective pressures created by functions. The more successful algorithms are then used as the 'parents' of the next generation of algorithms.
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