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 ...

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 ...

In engineering design, an optimized solution often turns out to be suboptimal when errors are encountered. Although the theory of robust convex optimization has taken significant strides over the past ...

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

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

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...