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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	SN computer science Ročník 5; číslo 1; s. 183
Hlavní autoři:	Avinash, N., Sinha, Sitesh Kumar, Shivamurthaiah, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 10.01.2024 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!