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, ...

Researchers have studied the potential of combining photovoltaic systems with compressed air energy storage (CAES) to power a commercial building in South Africa. They found that a co-optimized system ...

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...

Description: Theory and applications of multiple objective optimization and multiple criteria decision making. Existence and specification of single and multiple attributive value and utility ...

https://doi.org/10.2307/2583200 • https://www.jstor.org/stable/2583200 Copy URL A linear programming problem is presented to solve a problem in determining how many ...

Main teaching interests are optimization, dynamic optimization, large-scale optimization, and computational engineering such as simulation and computational mathematics. Can also teach Signals and ...