Abstract: For offline data-driven multiobjective optimization problems (MOPs), no new data is available during the optimization process. Approximation models (or surrogates) are first built using the ...

Math. It’s been known to make palms sweat and hearts race. Plenty of Kern County residents — students and parents especially — know how it feels to need a little extra help with the day’s math ...

From classrooms to kitchen tables, debates about math education are never far away. Should teachers drill multiplication facts or encourage creative strategies to solve problems? The answer, ...

Abstract: Accurately solving discrete optimization problems is still a serious challenge for classical computing systems. Despite significant progress, it is still impossible to optimally solve ...

From drug discovery and education to economics and earth science, SMU researchers are using AI to tackle a wide range of real-world challenges. SMU’s high-performance computing capabilities — made up ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...