A survey on multi-objective hyperparameter optimization algorithms for machine learning

Hyperparameter optimization (HPO) is a necessary step to ensure the best possible performance of Machine Learning (ML) algorithms. Several methods have been developed to perform HPO; most of these are focused on optimizing one performance measure (usually an error-based measure), and the literature...

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Veröffentlicht in:	The Artificial intelligence review 2023-08, Vol.56 (8), p.8043-8093
Hauptverfasser:	Morales-Hernández, Alejandro, Van Nieuwenhuyse, Inneke, Rojas Gonzalez, Sebastian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer Science Datasets Energy consumption Error analysis Heuristic methods Machine learning Mathematical optimization Metamodels Multiple objective analysis Neural networks Objectives Optimization Optimization algorithms
Online-Zugang:	Volltext
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