Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework [PDF]
Aminu, Kuda Tijjani +2 more
core +1 more source
The present article proposes a novel hybrid approach for addressing the synthesis problem of rectangular planar arrays under multiple constraints, through joint optimization of the weight function and the improved grey wolf optimization (IGWO) algorithm.
Kui Tao +4 more
doaj +1 more source
A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer. [PDF]
Irshad RR +8 more
europepmc +1 more source
Glowworm swarm optimisation for training multi-layer perceptrons [PDF]
Alboaneen, Dabiah Ahmed +2 more
core +1 more source
Improved DV-HOP localization algorithm based on grey wolf optimization
DV-HOP is a widely used localization algorithm, commonly applied in areas such as node localization in Wireless Sensor Networks (WSNs), deployment of Internet of Things (IoT) devices and navigation for mobile robots. However, the DV-HOP algorithm faces challenges in practical applications, including cumulative hop count errors between nodes ...
Siqi Yang, Xiaohua Wang
openaire +1 more source
Efficient Frontier for Robust Higher-order Moment Portfolio Selection [PDF]
This article proposes a non-parametric portfolio selection criterion for the static asset allocation problem in a robust higher-moment framework. Adopting the Shortage Function approach, we generalize the multi-objective optimization technique in a four ...
Bertrand Maillet +2 more
core
Acoustic signal processing with robust machine learning algorithm for improved monitoring of particulate solid materials in a gas flowline [PDF]
Andrew Cowell +36 more
core +1 more source
In this research, two algorithms first, considered to be one of hybrid algorithms. And it is algorithm represents invasive weed optimization. This algorithm is a random numerical algorithm and the second algorithm representing the grey wolves optimization. This algorithm is one of the algorithms of swarm intelligence in intelligent optimization.
openaire +1 more source
Optimal scheduling of integrated energy system based on improved grey wolf optimization algorithm.
Du J, Zhang Z, Li M, Guo J, Zhu K.
europepmc +1 more source
Research on children's health prediction based on Improved Grey Wolf Optimization algorithm-Random Forest model. [PDF]
Xu H, Hu J.
europepmc +1 more source

