Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

A research team has developed a machine learning–based quantitative structure–activity relationship (ML-QSAR) method to ...

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...

Abstract: Distribution network reconfiguration can help enhance grid flexibility and promote integration of distributed renewable generation. However, achieving rapid and accurate solutions for ...