Results 101 to 110 of about 30,520 (198)

Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization

Scientific Reports
Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image ...
Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev   +5 more
doaj   +1 more source

Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review

IEEE Access
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Sofian Kassaymeh, Seyedali Mirjalili, Raed Abu Zitar   +6 more
doaj   +1 more source

Dynamics of aerospace vehicles [PDF]

The focus of this research was to address the modeling, including model reduction, of flexible aerospace vehicles, with special emphasis on models used in dynamic analysis and/or guidance and control system design.
Schmidt, David K.
core   +2 more sources

Hybrid intrusion detection models based on GWO optimized deep learning

Discover Applied Sciences
In the rapidly evolving landscape of network communication systems, the need for robust security measures has become paramount due to increased vulnerability to cyber threats.
Shaimaa Ahmed Elsaid, Esraa Shehab, Ahmed M. Mattar, Ahmad Taher Azar, Ibrahim A. Hameed   +4 more
doaj   +1 more source

Safety and Tolerability of Intra-Articular Injection of Adipose-Derived Mesenchymal Stem Cells GXCPC1 in 11 Subjects With Knee Osteoarthritis: A Nonrandomized Pilot Study Without a Control Arm

Cell Transplantation
The current study aimed to determine the safety profile of intra-articular-injected allogeneic adipose-derived mesenchymal stem cells (ADSCs) GXCPC1 in subjects with knee osteoarthritis (OA) and its preliminary efficacy outcome.
Cheng-Fong Chen, Yi-Chung Chen, Yu-Show Fu, Shang-Wen Tsai, Po-Kuei Wu, Chao-Ming Chen, Wei-Ming Chen, Hung-Ta Hondar Wu, Chia-Hsin Lee, Chao-Liang Chang, Po-Cheng Lin, Yong-Cheng Kao, Chun-Hung Chen, Ming-Hsi Chuang   +13 more
doaj   +1 more source

A Comprehensive Study of Grey Wolf Optimizer Variants for Optimizing Feature Selection in High-Dimensional Data

Applied Artificial Intelligence
Metaheuristic algorithms, notably the Grey Wolf Optimizer (GWO), are widely used for wrapper-based feature selection due to their superior ability to balance exploration and exploitation.
Thompson Stephan, Punitha S, Chia-Chen Lin, Saurabh Agarwal   +3 more
doaj   +1 more source

Applying the GWO Model to Relaxed Collaborative Systems

COMPUTING AND INFORMATICS, 2012
Building collaborative applications is still a challenging task. A collaborative application can be viewed as a class of distributed shared memory system. A distinctive property of these systems is their memory consistency model. In this paper, we argue that there is a relationship between different collaboration styles, on the one hand, and different ...
Constanza Prieto, Yadran Eterovic
openaire   +1 more source

An improved method for diagnosis of Parkinson’s disease using deep learning models enhanced with metaheuristic algorithm

BMC Medical Imaging
Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early stages. Quantitative measures of brain health can be obtained safely and non-invasively using medical imaging techniques like magnetic resonance imaging (MRI) and ...
Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao   +6 more
doaj   +1 more source

Financial Crisis Prediction Based on GWO-SVM

, 2023
Jian Ke, Shiqian Yu
openaire   +1 more source

A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection. [PDF]

Sci Rep
Amrir MMS, Ayid YM, Elshewey AM, Fouad Y.   +3 more
europepmc   +1 more source