Abstract: Dynamic multi-objective optimization problems (DMOPPs) are prevalent in complex engineering and management systems, where decision-makers must balance conflicting objectives under ...

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, ...