A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets

The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable balance of the exploration and exploitation phases as a metaheuristic approach. Still, the DMO is restricted in its exploitation phase, somewha...

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Vydané v:	Scientific reports Ročník 12; číslo 1; s. 14945 - 22
Hlavní autori:	Akinola, Olatunji A., Ezugwu, Absalom E., Oyelade, Olaide N., Agushaka, Jeffrey O.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 02.09.2022 Nature Portfolio
Predmet:	639/705 639/705/117 Algorithms Animals Herpestidae Humanities and Social Sciences Machine Learning multidisciplinary Problem Solving Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
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