Red Deer Algorithm based nano-sensor node clustering for IoNT
Node connectivity is a crucial issue for collecting and transmitting the values of the medium
at nano-scale in Wireless Nano-Sensor Networks (WNSNs). This provides the network to be …
at nano-scale in Wireless Nano-Sensor Networks (WNSNs). This provides the network to be …
Optimization design of the electromagnetic flowmeter excitation structure based on GA-BP-GWO neural network
X Liu, D Zhao, Y Song, X Wang, J Liu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This article proposes a back propagation (BP) neural network based on genetic algorithm
(GA) optimization and uses the grey wolf optimizer (GWO) to search for the optimal excitation …
(GA) optimization and uses the grey wolf optimizer (GWO) to search for the optimal excitation …
A hybrid grey wolf optimizer for engineering design problems
S Chen, J Zheng - Journal of Combinatorial Optimization, 2024 - Springer
Grey wolf optimizer (GWO) is one of the most popular metaheuristics, and it has been
presented as highly competitive with other comparison methods. However, the basic GWO …
presented as highly competitive with other comparison methods. However, the basic GWO …
Threat Assessment Method for Cluster Targets Based on GWO-IFE
X Mao, J Wang, W Zhang, J Qian… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
Electromagnetic killing is characterized by high efficiency and low cost when dealing with
the threat of low, slow and small cluster targets. Firstly, For the characteristics of …
the threat of low, slow and small cluster targets. Firstly, For the characteristics of …