Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have demonstrated strong performance in solving low- and medium-dimensional expensive multi-objective optimization problems (EMOPs).

Abstract: This paper introduces a neurodynamic framework for addressing multi-objective fuzzy optimization problems (MO-FOPs). Due to the inherent conflicts among objectives and the uncertainty in ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...