B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets

Advancements in medical technology have created numerous large datasets including many features. Usually, all captured features are not necessary, and there are redundant and irrelevant features, which reduce the performance of algorithms. To tackle this challenge, many metaheuristic algorithms are...

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Bibliographic Details

Published in:	Computers (Basel) Vol. 10; no. 11; p. 136
Main Authors:	Nadimi-Shahraki, Mohammad H., Banaie-Dezfouli, Mahdis, Zamani, Hoda, Taghian, Shokooh, Mirjalili, Seyedali
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2021
Subjects:	Algorithms binary metaheuristic algorithms Butterflies & moths Classification Datasets Feature selection Heuristic methods medical datasets Medical diagnosis Methods Optimization Optimization algorithms swarm intelligence algorithms transfer function Transfer functions
ISSN:	2073-431X, 2073-431X
Online Access:	Get full text
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