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: Surrogate-assisted evolutionary algorithms have demonstrated remarkable success in tackling expensive multi-objective optimization problems. However, their effectiveness diminishes in ...

Abstract: Multi-Objective evolutionary algorithms (MOEAs) are popular for solving complex optimization problems with multiple objectives and they have gained much success in benchmark competitions as ...

The journal retracts the 24th June 2022 article cited above. Following publication, concerns were identified regarding the peer review process and content of this article. Following an investigation ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...