Content delivery systems constitute a major portion of today's Internet traffic. While they are a good source of revenue for Internet Service Providers (ISPs), the huge volum...
Ingmar Poese, Benjamin Frank, Bernhard Ager, Georg...
Over the last decade and a half, tabu search algorithms for machine scheduling have gained a near-mythical reputation by consistently equaling or establishing state-of-the-art per...
Jean-Paul Watson, Adele E. Howe, L. Darrell Whitle...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between these selfish ...
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...