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, ...
Abstract: Large-scale, dynamic multi-objective optimization problems (LSDMOPs) extend traditional DMOPs into high-dimensional decision spaces, reflecting the growing complexity of real-world dynamic ...
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