Review of Metaheuristic Approaches for Boosting Model Optimization


DOI: https://doi.org/10.15308/Sinteza-2025-200-205
Authors:
Miloš Grubješić
Miodrag Živković
Tamara Živković
Nebojša Bačanin Džakula

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Keywords:
Boosting Algorithms, Metaheuristic Algorithms, Hyperparameter Optimization


Abstract:
Boosting algorithms, recognized for their ability to create strong learners

CITATION:

IEEE format

M. Grubješić, M. Živković, T. Živković, N. Bačanin Džakula, “Review of Metaheuristic Approaches for Boosting Model Optimization,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 200-205. doi:10.15308/Sinteza-2025-200-205

APA format

Grubješić, M., Živković, M., Živković, T., Bačanin Džakula, N. (2025). Review of Metaheuristic Approaches for Boosting Model Optimization. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-200-205

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