Abstract: In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the ...

Abstract: This article devises a two-phase Kriging-assisted evolutionary algorithm (named TEA) to tackle expensive constrained multiobjective optimization problems (CMOPs). In the first phase, only ...

It’s not just about saying, how do we tear down the remains of inequities that we know that have existed in the past, but also the fact that when you’re tearing things down, you’re creating new ...

Algorithms shape our lives and steal our focus. Rituals can help us not only regain control of our attention; they're also a ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

aInternational Graduate Academy (InGrA), Institute of Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, Halle (Saale) 06112, Germany ...

For more than three decades, Nirvana Systems has pursued an ambitious goal that many trading technology firms promise but few ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Litigation against social media companies represents a rare opportunity. Courts and the public are scrutinizing what ...

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...

The AI-powered feature is rolling out today as beta, letting users in select countries directly steer their feeds (albeit temporarily). Here’s how it works. A few months ago, a trend on Threads had ...