1. Effective decision-making in environmental management requires the consideration of multiple objectives that may conflict. Common optimization methods use weights on the multiple objectives to ...

1College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China 2Hunan Creator Information Technologies Co., Ltd., Changsha, China To solve the problems that a large ...

Many modern real-world designs rely on the optimization of multiple competing goals. For example, most components designed for the aerospace industry must meet some conflicting expectations. In such ...

SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...

Abstract: In this paper, we present a novel multi-objective Bayesian optimization approach for tactile feedback transmission and reconstruction in the NFV-based tactile Internet (NFV-based TI). For ...

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: Multi-objective optimization is crucial in scientific and industrial applications where solutions must balance trade-offs among conflicting objectives. State-of-the-art methods, such as NSGA ...