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Surrogate-Assisted Niching Differential Evolution for hyperparameter optimization in Convolutional Neural Networks
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DOI：10.1016/j.swevo.2025.102176.png)
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Abstract
En 中文
• A surrogate-assisted niching differential evolution is proposed. • A dual-space K-medoids niching method is designed. • A surrogate-assisted integrated differential evolution is introduced. • A dynamic computational resource allocation strategy is developed.
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