AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

By automating the end-to-end machine learning pipeline, it empowers less-experienced developers to build high-quality models ...

This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent systems, particularly ...

To promote research on dynamic constrained multiobjective optimization, we first propose a group of generic test problems with challenging characteristics, including different modes of the true Pareto ...