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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Bibliographic Details

Published in:	Scientific reports Vol. 12; no. 1; pp. 14945 - 22
Main Authors:	Akinola, Olatunji A., Ezugwu, Absalom E., Oyelade, Olaide N., Agushaka, Jeffrey O.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 02.09.2022 Nature Portfolio
Subjects:	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
Online Access:	Get full text
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