A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

A new type of computer uses oscillators in special materials to find the most efficient solutions to complex scheduling and ...

Baker's research focuses on power systems, smart grid, renewable energy, building-to-grid optimization, and applications of machine learning in energy. Her ...

G. Gary Wang, Songqing Shan, Design Space Reduction for Multi-Objective Optimization and Robust Design Optimization Problems, SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND ...

Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use.

To effectively implement optimization in engineering workflows, it is important to understand its foundational structure. Optimization problems are defined by three core elements: objectives, ...

This paper presents an overview of some recent, and significant, progress in the theory of optimization problems with perturbations. We put the emphasis on methods based on upper and lower estimates ...