Results 91 to 100 of about 6,723 (242)

Capacity Optimization and Hierarchical Robust Control Verification of Wind–Solar–Diesel Hybrid Microgrid Based on Improved Multi‐Objective Grey Wolf Algorithm

Engineering Reports, Volume 8, Issue 3, March 2026.
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley   +1 more source

GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks [PDF]

Journal of Computer Networks and Communications, 2017
Seyedali Mirjalili et al. (2014) introduced a completely unique metaheuristic technique particularly grey wolf optimization (GWO). This algorithm mimics the social behavior of grey wolves whereas it follows the leadership hierarchy and attacking strategy. The rising issue in wireless sensor network (WSN) is localization problem.
R. Rajakumar, J. Amudhavel, P. Dhavachelvan, T. Vengattaraman   +3 more
openaire   +2 more sources

Radar Based Secure Contactless Fall Detection Using Hybrid Optimizer with Convolution Neural Network [PDF]

Introduction: senior citizens can lead to severe injuries. Existing wearable fall-alert sensors are often ineffective as seniors tend to avoid using them, highlighting the need for non-contact sensor applications in smart homes. This study proposes a CNN-
Jeyakumar M, Nester, Rajesh M, Bennet, Samraj, Jasmine   +2 more
core   +2 more sources

HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

Engineering Reports, Volume 8, Issue 3, March 2026.
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o, Lawrence Nderu, Ronald Waweru Mwangi, Isaac Nyabisa Oteyo   +3 more
wiley   +1 more source

AN OPTIMAL POWER SCHEDULING A SMART HOME USING GREY WOLF OPTIMIZER (GWO)

, 2019
In this paper, GWO is adapted for Power Schedul- ing Problem (PSP). PSP is addressed by schedul- ing home appliances to a certain time horizon to minimize the electricity bill and peak-to-average ratio (PAR) and increase the comfort level of users. The simulation results shows the GWO ef- ficiency in obtaining optimal schedule by com- pare its results ...
openaire   +1 more source

An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems

Scientific Reports
This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (
Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho   +6 more
doaj   +1 more source

Optimizing Agricultural Management Practices for Maize Crops: Integrating Clusterwise Linear Regression with an Adaptation of the Grey Wolf Optimizer

Agriculture
Effectively managing agricultural practices is crucial for maximizing yield, reducing investment costs, preserving soil health, ensuring sustainability, and mitigating environmental impact.
Germán-Homero Morán-Figueroa, Carlos-Alberto Cobos-Lozada, Oscar-Fernando Bedoya-Leyva   +2 more
doaj   +1 more source

An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading

IEEE Access, 2020
Based on the boost full bridge isolated converter (BFBIC) topology and considering the sudden changes in the external environment, a global maximum power point tracking (GMPPT) control strategy based on an improved gray wolf optimizer (IGWO) algorithm is
Ke Guo, Lichuang Cui, Mingxuan Mao, Lin Zhou, Qianjin Zhang   +4 more
doaj   +1 more source

Assessment of Voltage Unbalance and Power Losses in Distribution Network Integrated With PVs and EV Charging Stations

Energy Science &Engineering, Volume 14, Issue 3, Page 1131-1147, March 2026.
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad, Aamir Nawaz, Rahmat Ullah, Ehtasham Mustafa, Abdelfatah Ali   +4 more
wiley   +1 more source

A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems

Ain Shams Engineering Journal
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO).
Hongzhi Zhang, Yong Zhang, Yixing Niu, Kai He, Yukun Wang   +4 more
doaj   +1 more source