Long before silicon chips, a Victorian mathematician dreamed of a machine that could run any algorithm imaginable, and in doing so, invented the concept of the computer. This is the story of how the ...
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 ...
This article proposes a multi-layer SAGIN dynamic resource scheduling optimization algorithm that integrates federated learning (FL) and deep reinforcement learning (DRL) to address the problems of ...