A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications

MH Nadimi-Shahraki, H Zamani, ZA Varzaneh… - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …

Hybrid binary grey wolf with Harris hawks optimizer for feature selection

R Al-Wajih, SJ Abdulkadir, N Aziz, Q Al-Tashi… - IEEE …, 2021 - ieeexplore.ieee.org
Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in
local optima areas may still be a concern. Several significant GWO factors can be explored …

Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network

M Shahin, M Maghanaki, A Hosseinzadeh… - The International Journal …, 2024 - Springer
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification

Z Li - Applied Soft Computing, 2023 - Elsevier
The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

Cloud manufacturing-an overview of developments in critical areas, prototypes, and future perspectives

I Jacob, Y Lu, X Xun - IFAC-PapersOnLine, 2022 - Elsevier
Cloud manufacturing was incepted a decade ago. Researchers have since been working on
this topic to find more feasible, cost-effective, and less complex ways to implement cloud …

Oppositional Slime Mould Algorithm: Development and application for designing demand side management controller

AK Sharma, A Saxena, DK Palwalia - Expert Systems with applications, 2023 - Elsevier
In recent years, application of several metaheuristic optimization algorithms have been
reported. Their flexibility and adaptive structure make them compatible for real engineering …

A personalized method of cloud manufacturing service customization

Y Huo, J **ong, Q You, Z Guo… - International Journal of …, 2021 - Taylor & Francis
In order to provide consumers with personalized cloud manufacturing services, and to form a
crowd-sourcing cloud alliance for Small and Medium enterprises (SMEs), a cloud …

Exploration of nature inspired Grey wolf algorithm and Grey theory in machining of multiwall carbon nanotube/polymer nanocomposites

PK Kharwar, RK Verma - Engineering with Computers, 2022 - Springer
The nanosize of reinforcement creates a better synergistic effect in epoxy composites. This
effect enhances the desired properties of multifunctional components used in aircraft …

A novel hybrid algorithm for large-scale composition optimization problems in cloud manufacturing

Z Wang, S Wang, B Yang, Y Wang… - International Journal of …, 2021 - Taylor & Francis
At present, with the emergence and development of cloud manufacturing (CMfg), the scale
of services in CMfg platforms increases rapidly which provide the same or familiar …

Integrated scheduling of distributed service resources for complex equipment considering multiple on-site MRO tasks

X Zhao, Q Deng, X Liu, L Zhang, S Wu… - International Journal of …, 2022 - Taylor & Francis
The previous studies on service resource scheduling for maintenance, repair and operation
(MRO) ignore the diverse service processes from different complex equipment and the …