A thermoelectric generator with a shape that no human designer would likely have imagined has now been created by a ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Researchers from Koç University and international collaborators have developed a new algorithm that enables faster and more ...

Abstract: We present a genetic-algorithm (GA) approach to optimal trajectory design on a grid-based domain under a road construction cost functional. Candidate routes are encoded as piecewise-linear ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Abstract: Power supply noise has emerged as a critical bottleneck in modern integrated circuit design, where increasing current densities and higher operating frequencies pose significant challenges ...

An innovative approach to the optimization of process parameters and equipment sizes of the recirculating cooling water system for various types of thermal power plants (TPPs) with natural draft wet ...

Fluid machinery is integral to a wide range of industries, from energy generation to transportation, and from industrial processing to environmental protection. The challenge of improving the ...

For non-planar graphs, such solutions are computationally intractable," explained the researchers. The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation ...