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GOAT method: Green Orthogonal Array Tuning method
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DOI：10.1016/j.aej.2025.10.044.png)
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Abstract
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• Hyperparameter tuning transforms good models into state-of-the-art performers. • Evaluation shows that GOAT method outperforms existing frameworks. • GOAT method identified the top 5 hyper-parameters for the best models in machine learning, deep learning, and graph neural networks. • GOAT method requires fewer than 10 experiments and 11 s, making it eco-efficient.
Keywords:
Hyper-parameter optimization
Robust design of experiment
Orthogonal array tuning method
Eco-efficiency
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