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Publication
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| Research Title |
Hybridization of Modified Grey Wolf Optimizer
and Dragonfly for Feature Selection |
| Date of Distribution |
27 November 2023 |
| Conference |
| Title of the Conference |
First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings |
| Organiser |
Asian Institute of Techonology, Universiteit Ledien, Liacs |
| Conference Place |
Bangkok, Thailand |
| Province/State |
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| Conference Date |
27 November 2023 |
| To |
29 November 2023 |
| Proceeding Paper |
| Volume |
1 |
| Issue |
- |
| Page |
7 |
| Editors/edition/publisher |
Springer |
| Abstract |
There are numerous techniques designed to enhance the performance
of machine learning models, with feature selection being one of the key strategies.
Although many feature selection methods exist, our study presents a novel hybrid
approach that mergestwometaheuristictechniques: the ModifiedGreyWolfOpti
mizer (MGWO) and the Dragonfly Algorithm (DA). This innovative method not
only boosts the model’s performance but also emphasizes the most pertinent fea
tures. Our experimental results showcase robust model performance, achieving
an F1-score of 90% on our experimental dataset, surpassing other approaches.
Further results and discussions are provided in this paper. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
ไทย