Results 61 to 70 of about 4,765,015 (215)
A novel hybrid GWO-SCA approach for optimization problems
Engineering Science and Technology, an International Journal, 2017 Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj +1 more source
Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm
IEEE Access, 2021 Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency.
Linguo Li +5 more
doaj +1 more source
Energy Science &Engineering, EarlyView.A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas +6 more
wiley +1 more source
CMGWO: Grey wolf optimizer for fusion cell-like P systems
HeliyonThe grey wolf optimizer is a widely used parametric optimization algorithm. It is affected by the structure and rank of grey wolves and is prone to falling into the local optimum.
Yourui Huang +4 more
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Smart Parking Systems: A Review of Optimization Techniques and Technological Advances
Energy Science &Engineering, EarlyView.This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee +5 more
wiley +1 more source
Evaluation of Grey Wolf Optimization Algorithm on Rigid and Flexible Receptor Docking [PDF]
, 2020 Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein in current structure-based drug design.
Kin Meng, Wong, Shirley, Siu
core +1 more source
A Modified Grey Wolf Optimizer Based Data Clustering Algorithm
Applied Artificial Intelligence, 2020 Data clustering is an important data analysis and data mining tool in many fields such as pattern recognition and image processing. The goal of data clustering is to optimally organize similar objects into clusters. Grey wolf optimizer is a newly introduced optimization algorithm with inspiration from the social behavior of gray wolves.
Ramin Ahmadi +2 more
openaire +2 more sources
Scientific ReportsThis study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Manoharan Premkumar +7 more
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Energy Science &Engineering, EarlyView.SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han +5 more
wiley +1 more source
Fault reconfiguration of ship power system based on improved grey wolf optimization algorithm
Zhongguo Jianchuan Yanjiu, 2023 Objectives In order to analyze and solve the problem of the fault reconfiguration of shipboard power systems (SPSs), a fault reconstruction model with the optimization objectives of load loss and switching operation times is established, and an improved ...
Xinyue ZHANG, Jianmei XIAO, Xihuai WANG
doaj +1 more source