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

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

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 ...

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

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 ...

A new technical paper titled “Advanced Chiplet Placement and Routing Optimization considering Signal Integrity” was published by researchers at KAIST. Abstract: “This article addresses the critical ...

Almost every design optimisation problem in engineering is a complex blend of many different design variables, each with its own set of complex constraints.

Because of its versatility, the technology can be applied to shape optimization and many other engineering tasks where solving partial differential equations on new shapes is repeatedly needed, said ...

For heads of platform engineering, Kubernetes cost management shouldn’t be viewed as a back-office IT function.