What do the Tower of Babel, the biblical figure Nehemiah, algorithms and realpolitik have in common? They’re all discussed – along with integral human development, the technocratic paradigm and ...

Abstract: Dynamic optimization is one of the model-based adaptive reinforcement learning methods, which has been widely used in industrial systems with switching mechanisms. This article presents an ...

Abstract: Dynamic multiobjective optimization problems (DMOPs) frequently arise in real-world applications, where environments evolve over time. A central challenge in solving DMOPs is the ability to ...