Robust dynamic optimization is a critical area of research in chemical engineering, focusing on developing strategies to optimize processes while accounting for uncertainties. These uncertainties can ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...

This is a preview. Log in through your library . Abstract We identify a family of discounted dynamic optimization problems in which the immediate return function depends on current consumption, ...

Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. In a new paper, authors ...

The aim of this talk is to present the recent efforts made to advance key tasks in Process Systems Engineering (PSE) using new optimization and machine learning methods developed in our group. In the ...

Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use. A collaboration between Harvard University with scientists at QuEra ...

My friends, please believe this: the day has come for real dynamic power reduction! Over the past 15 years, EDA vendors have had some fairly old functionality for dynamic power reduction. Granted, ...