In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Abstract: Based on Storage Time Aggregated Graph (STAG) model in time-varying graph theory, we investigate the single-source-single-sink maximum flow problem in a time-varying Ad hoc network comprised ...

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

Aug 2: I'll have 2-hour office hours on Wed, Aug 7, 11:30-13:30. Aug 2: The final exam on Aug 9 will be on all topics of the course, with equal emphasis. You'll have 3 hours for an exam that will be ...

Abstract: In this paper, we investigate the maximum flow routing strategy with the service function chain (SFC) constraints in the space information networks (SINs), where a SFC consists of a specific ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off ...