A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, higher-bandwidth data ...

AI is also accelerating code modernization. AI-assisted refactoring and workload redesign help legacy applications operate ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research has ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States Oden Institute for Computational Engineering and Sciences, The University of Texas at ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...