New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Abstract: Dynamic nonlinear least square (DNLS) problems are usually encountered in modern engineering, which are challenging to solve due to time-delay errors and noise in practical applications with ...

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 ...