Results 71 to 80 of about 1,072,852 (213)

Research on Nonuniform Ageing State Assessment of Oil‐Immersed Power Transformers Based on PCA–GWO–RF Algorithm

High Voltage, EarlyView.
ABSTRACT The condition assessment of oil–paper insulation is critical for oil–immersed power transformers, which are fundamental to the reliability of modern power systems. The primary limitation of traditional transformer ageing assessment lies in its macroscopic, whole‐unit approach, which fails to account for the localised effects of nonuniform ...
Mingze Zhang, Muhe Yu, Wei Sun, Ji Liu, Song Cheng, Bingjie Wang, Di Shao, Minghe Chi   +7 more
wiley   +1 more source

GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization

Mathematics
This study introduces the GWO-FNN model, an improvement of the fuzzy neural network (FNN) architecture that aims to balance high performance with improved interpretability in artificial intelligence (AI) systems. The model leverages the Grey Wolf Optimizer (GWO) to fine-tune the consequents of fuzzy rules and uses mutual information (MI) to initialize ...
Paulo Vitor de Campos Souza, Iman Sayyadzadeh   +1 more
openaire   +2 more sources

A Review of Grey Wolf Optimizer-Based Feature Selection Methods for Classification

, 2019
Feature selection is imperative in machine learning and data mining when we have high-dimensional datasets with redundant, nosy and irrelevant features.
Alhussian, Hitham, Abdulkadir, Said Jadid, Seyedali Mirjalili, Qasem Al-Tashi, Helmi Md Rais, Hitham Alhussian, Al-Tashi, Qasem, Said Jadid Abdulkadir, Mirjalili, Seyedali, Md Rais, Helmi   +9 more
core   +1 more source

An Improved Grey Wolf Optimizer with Hyperbolic Tangent Updating Mechanism for Solving Optimization Problems [PDF]

, 2021
The original algorithm of Grey Wolf Optimizer (GWO) has a common problem which is too soon to trap in local optima. This paper presents the Improved Grey Wolf Optimizer (IGWO) by modifying the updating mechanism of the original GWO.
Mohd Helmi Suid, M. A., Ahmad, M. H., Suid, Mohd Ashraf Ahmad, Mohd Zaidi Mohd Tumari, M. Z. M., Tumari   +5 more
core   +1 more source

A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

IEEE Access, 2019
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications.
Sankalap Arora, Harpreet Singh, Manik Sharma, Sanjeev Sharma, Priyanka Anand   +4 more
doaj   +1 more source

Grey wolf optimizer with self-repulsion strategy for feature selection

Scientific Reports
Feature selection is one of the most critical steps in big data analysis. Accurately extracting correct features from massive data can effectively improve the accuracy of big data processing algorithms.
Yufeng Wang, Yumeng Yin, Hang Zhao, Jinxuan Liu, Chunyu Xu, Wenyong Dong   +5 more
doaj   +1 more source

A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management

Engineering Reports, Volume 8, Issue 10, October 2026.
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader, Abobakr Al‐Sakkaf, Moaaz Elkabalawy, Kyrillos Ebrahim, Haytham Elmousalami, Mohammed Algamati, Ghasan Alfalah   +6 more
wiley   +1 more source

A State‐of‐the‐Art Comprehensive Review: Application of Artificial Intelligence in Predicting the Load‐Bearing Capacity of Piles

Engineering Reports, Volume 8, Issue 10, October 2026.
This graphical abstract provides a systematic bibliometric and thematic dissection of artificial intelligence applications for predicting pile load‐bearing capacity, synthesized from 135 rigorously selected studies published across the past three decades.
Mohammadreza Ahmadi Golsefidi, Mahzad Esmaeili‐Falak   +1 more
wiley   +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

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, Volume 5, Issue 5, Page 514-531, October 2026.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source