Abstract: Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non ...

Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...

For all we see at the track, there is an awful lot that happens behind the scenes in Formula 1, at-track science included.

By partnering with artificial intelligence (AI), a researcher at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory has solved a long-standing physics problem and uncovered the ...

Abstract: Solving dynamic multiobjective optimization problems (DMOPs) is very challenging due to the requirements to respond rapidly and precisely to changes in an environment. Many prediction- and ...