An Improved Gannet Optimization Algorithm Based on Opposition-Based Schemes for Feature Selection Problems in High-Dimensional Datasets

In the ever-evolving landscape of optimization algorithms for healthcare datasets, this study introduces an innovative fusion of the gannet optimization algorithm (GOA) with advanced opposition-based learning (OBL) techniques, including quasi-OBL, generalized OBL, and partial OBL. The primary novelt...

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Veröffentlicht in:	SN computer science Jg. 5; H. 1; S. 183
Hauptverfasser:	Avinash, N., Sinha, Sitesh Kumar, Shivamurthaiah, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 10.01.2024 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Datasets Feature selection Genetic algorithms Health care Information Systems and Communication Service Mathematical programming Methods Optimization Optimization algorithms Optimization techniques Original Research Pattern Recognition and Graphics Performance evaluation Physics Software Engineering/Programming and Operating Systems Support vector machines Task complexity Taxonomy Vision Feature selection Gannet optimization algorithm Opposition-based learning High-dimensional dataset
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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