Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

Research article (PeerJ Computer Science, 2022) · cited 92× · AI/ML
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Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

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Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-hybrid-firefly-algorithm-an-application-to-enhance-xgboost-tuning-for-intrusion-detection-classification
MLA “Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-hybrid-firefly-algorithm-an-application-to-enhance-xgboost-tuning-for-intrusion-detection-classification.
BibTeX @misc{4ortxyz_novel-hybrid-firefly-algorithm-an-application-to-enhance-xgboost-tuning-for-intrusion-detection-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification}}, year = {2026}, url = {https://4ort.xyz/entity/novel-hybrid-firefly-algorithm-an-application-to-enhance-xgboost-tuning-for-intrusion-detection-classification}, note = {Accessed: 2026-05-24}}
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