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A Comparison of Ranking Methods Used in Multiobjective Optimization for Feature Selection in EEG Signals Cover

A Comparison of Ranking Methods Used in Multiobjective Optimization for Feature Selection in EEG Signals

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section
Volume 69 (2023): Issue 4 (December 2023)
By:   
Open Access
|Feb 2025
Authors

Authors

Corina Cîmpanu

corina.cimpanu@academic.tuiasi.ro

“Gheorghe Asachi” Technical University of Iași, Faculty of Automatic Control and Computer Engineering, Iași, Romania
DOI: https://doi.org/10.2478/bipie-2023-0019 | Journal eISSN: 2537-2726 | Journal ISSN: 1223-8139
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Language: English
Page range: 9 - 29
Submitted on: Nov 7, 2023
Accepted on: Dec 23, 2024
Published on: Feb 21, 2025
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
classifier,
EGG feature selection,
genetic algorithm,
ranking,
multi-objective optimization
Related subjects:
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Automation,
Electronics,
Energy engineering

© 2025 Corina Cîmpanu, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 69 (2023): Issue 4 (December 2023)
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