Researchers have combined the Dijkstra and Bellman-Ford algorithms to develop an even faster way to find the shortest paths ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...

ABSTRACT: This study proposes a decentralized urban traffic optimization approach by integrating Dijkstra’s algorithm with edge computing. The system models road networks as dynamic graphs, using real ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Deploying LLMs presents challenges, particularly in optimizing efficiency, managing computational costs, and ensuring high-quality performance. LLM routing has emerged as a strategic solution to these ...

Abstract: Aiming at the energy loss in underwater sensor networks, a routing algorithm based on improved Northern Goshawk Optimisation (NGO) algorithm is proposed. With the determination of the ...

Abstract: Wireless sensor networks (WSNs) come under a new domain of networks that are becoming very popular with a huge a large number of military and civilian uses. It comprises a collection of ...

Although several flow routing (FR) algorithms are developed for hydrological modeling, it is still uncertain how the selection of algorithms may affect model results. This study aims to explore the ...