Results 71 to 80 of about 3,322,155 (235)

A Thinning Method of Linear And Planar Array Antennas To Reduce SLL of Radiation Pattern By GWO And ICA Algorithms [PDF]

AUT Journal of Electrical Engineering, 2018
In the recent years, the optimization techniques using evolutionary algorithms have been widely used to solve electromagnetic problems. These algorithms use thinning the antenna arrays with the aim of reducing the complexity and thus achieving the ...
H. Rezagholizadeh, D. Gharavian
doaj   +1 more source

Maze Puzzle Pattern‐Based Static Reconfiguration of Photovoltaic Arrays for Enhanced Shade Dispersion and Power Generation Under Partial Shading Conditions

Energy Science &Engineering, EarlyView.
A new maze puzzle pattern array (PPA) is presented to optimize shade allocation, alleviate the mismatch losses of PV (photovoltaic) arrays in partially shaded circumstances, and maximize output in partially shaded operation with zero extra sensors, switching components, and optimum searching schemes.
Alok Kumar Shrivastav, Anurag Kar, Milan Sasmal, Pankaj Kumar, Soham Dutta   +4 more
wiley   +1 more source

A Novel Hybrid Grey Wolf Differential Evolution Algorithm

CoRR
Grey wolf optimizer (GWO) is a nature-inspired stochastic meta-heuristic of the swarm intelligence field that mimics the hunting behavior of grey wolves. Differential evolution (DE) is a popular stochastic algorithm of the evolutionary computation field that is well suited for global optimization. In this part, we introduce a new algorithm based on the
Bougas, Ioannis D., Doanis, Pavlos, Papadopoulou, Maria S., Boursianis, Achilles D., Sotiroudis, Sotirios P., Zaharis, Zaharias D., Koudouridis, George, Sarigiannidis, Panagiotis, Matint, Mohammad Abdul, Karagiannidis, George, Goudos, Sotirios K.   +10 more
openaire   +3 more sources

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

Intelligent diagnosis‐related group classification for 134,189 patients in eastern China using machine learning

Journal of Intelligent Medicine, EarlyView.
Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang, Yihan Cheng, Yuhui Ruan, Kun Wang   +3 more
wiley   +1 more source

CMGWO: Grey wolf optimizer for fusion cell-like P systems

Heliyon
The 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, Quanzeng Liu, Hongping Song, Tao Han, Tingting Li   +4 more
doaj   +1 more source

Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density [PDF]

Journal of Renewable Energy and Environment
Optimization problems can be classified as discrete or continuous, depending on the nature of the decision variables. Using continuous algorithms for problems that are inher-ently discrete can pose challenges in achieving optimal efficiency.
Hamed Kargaran, Hassan Alipour, Maryam Amirhoseiny, Ghasem Alahyarizadeh   +3 more
doaj   +1 more source

Analysis of Carbohydrates and Glycoconjugates by Matrix‐Assisted Laser Desorption/Ionization Mass Spectrometry: An Update for 2023–2024

Mass Spectrometry Reviews, EarlyView.
ABSTRACT The use of MALDI mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well‐established technique and this comprehensive review is the twelfth update of the original article published in 1999 and brings coverage of the literature to the end of 2024.
David J. Harvey
wiley   +1 more source

Collaborative Strategy for Grey Wolf Optimization Algorithm

Modern Applied Science, 2018
Grey wolf Optimizer (GWO) is one of the well known meta-heuristic algorithm for determining the minimum value among a set of values. In this paper, we proposed a novel optimization algorithm called collaborative strategy for grey wolf optimizer (CSGWO).
Esra F. Alzaghoul, Sandi N. Fakhouri
openaire   +2 more sources

Improved Grey Wolf Optimization Algorithm

Aiming at the problems of slow convergence speed and easy to fall into local optimum of grey wolf optimization (GWO) in unmanned aerial vehicle path planning, an improved grey wolf optimization (I-GWO) with multi-strategy fusion is proposed. The improved
Fan, Haowei
core   +1 more source