L Chen, F Xu, K Jin, Z Tang - The Journal of Supercomputing, 2023 - Springer
Wireless local area networks (WLANs) bring great convenience for people, however, they also consume a huge amount of energy, for most access points (APs) typically operate at the …
X Li, Y Qi, Q Xing, Y Hu - IEEE Access, 2023 - ieeexplore.ieee.org
Optimization challenges are becoming more complex as the world advances. Since deterministic and heuristic approaches are no longer sufficient to deal with such complex …
Abstract The Golden Jackal Optimization (GJO) algorithm is a novel, nature-inspired optimization technique that has gained recognition as a highly promising metaheuristic due …
B Wang, Q Jin, R Zhao, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
As the variety and scope of optimization problems continue to expand, the applicability of a single algorithm may not be universal. To address this challenge, this paper introduces an …
R Zhang, W Sun, W Liang - … , Part I: Journal of Systems and …, 2024 - journals.sagepub.com
Aiming at the shortcomings of the Golden Jackal optimization algorithm, such as low convergence accuracy and easy falling into the optimal local solution, an improved Golden …
P Jayalakshmi, SSS Ramesh - Sustainable Computing: Informatics and …, 2024 - Elsevier
Edge computing is one of the predominant technologies which facilitates the option of bringing out the computing resources closer to the location of the end users when they are …
F Qiu, H Xu, F Li - Electronic Research Archive, 2024 - aimspress.com
As a meta-heuristic algorithm, the Golden Jackal Optimization (GJO) algorithm has been widely used in traditional network intrusion detection due to its ease of use and high …
Z Zhu, M Zhu - Journal of Artificial Intelligence and System …, 2024 - jaism.bilijipub.com
This paper introduces collaborative localization algorithms for wireless sensor networks (WSNs) in outdoor environments without GPS. Using a limited number of beacons and …