B Wang, C Wang, W Huang, Y Song, X Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart …
H Li, K Gao, PY Duan, JQ Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to its significance in real-life applications. This work proposes an improved artificial bee colony …
In industrial manufacturing systems, failures of machines caused by faults in their key components greatly influence operational safety and system reliability. Many data-driven …
It is well-recognized that obsolete or discarded products can cause serious environmental pollution if they are poorly be handled. They contain reusable resource that can be recycled …
Y Chen, F Zhao, X Chen, Y Wu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of 6G wireless communication technologies, various resource- intensive and delay-sensitive vehicle application tasks are generated. These application …
Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional ability to improve the vehicles' capacity to manage computation-intensive applications with …
Federated learning (FL) allows multiple edge computing nodes to jointly build a shared learning model without having to transfer their raw data to a centralized server, thus …
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …
R Zhao, F Zhu, M Tang, L He - Physical Communication, 2023 - Elsevier
This paper focuses on the profit maximization problem in a reconfigurable intelligent surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …