This research explores how user-defined constraints affect the efficiency and effectiveness of multi-objective evolutionary algorithm (MOEA) optimization in water resources. Constraints in MOEA ...

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...

In a new review, researchers from the Xinjiang Institute of Ecology and Geography (XIEF) of the Chinese Academy of Sciences ...

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 developed a novel multi-constraint optimization method that significantly improves the efficiency of reinforcement learning in complex environments. This new algorithm, called ...