Abstract: Due to the integration of vast quantities of fluctuant clean energy, the demand for flexibility in distribution network is increasing greatly. However, current studies on flexibility mainly ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

Abstract: Maximum flow algorithms hold significant importance in various industries, including communication networks, transportation and logistics, and more. For example, they can find supply chain ...

Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...

With rapid globalization and technological advancements manifesting at rising rates, the complexity of logistics networks has increased exponentially. This is most evident in the military sector where ...

Rasmus Kyng and his team developed an ultra-fast network flow algorithm that can compute the optimal traffic flow in real-time, regardless of network size or complexity. This breakthrough, combining ...

The present paper focuses on the optimization of large-flow coefficient centrifugal compressors, utilizing a mature centrifugal compressor impeller with a flow coefficient of 0.16 under design point ...

An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

Network slowdowns could soon be a thing of the past, thanks to a superfast new algorithm. The breakthrough offers a dramatically faster solution to a problem that has been plaguing computer scientists ...