Results 51 to 60 of about 8,834 (223)
IEEE Access, 2020 In this paper, a novel nature inspired meta heuristic optimization approach of Grey Wolf Optimization (GWO) algorithm is employed to solved the optimal reactive power dispatch (ORPD) problems.
Raheela Jamal +2 more
doaj +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
A Novel Global MPP Tracking of Photovoltaic System Based on Whale Optimization Algorithm [PDF]
, 2016 To harvest maximum amount of solar energy and to attain higher efficiency, photovoltaic generation (PVG) systems are to be operated at their maximum power point (MPP) under both variable climatic and partial shaded condition (PSC).
Kumar, C. S. (Cherukuri) +1 more
core +1 more source
Model Updating for Large-Scale Railway Bridge Using Grey Wolf Algorithm and Genetic Alghorithms [PDF]
, 2022 This paper proposes a novel hybrid algorithm to deal with an inverse problem of a large-scale truss bridge. Grey Wolf Optimization (GWO) Algorithm is a well-known and widely applied metaheuristic algorithm.
BUI-TIEN, Thanh +5 more
core +2 more sources
Structural Optimization Using Grey Wolf Optimizer and Its Variants
ITEGAM-JETIANow a days, many metaheuristic optimization algorithms are invariably used in the field of engineering and data science. In structural mechanics, many stochastic optimization algorithms are employed for solving the complex numerical problems.
Bhavik Dipakbhai Upadhyay +5 more
doaj +1 more source
An improved grey wolf with whale algorithm for optimization functions [PDF]
, 2022 The Grey Wolf Optimization (GWO) is a nature-inspired, meta-heuristic search optimization algorithm. It follows the social hierarchical structure of a wolf pack and their ability to hunt in packs.
Asgher, Hafiz Maaz
core
IEEE Access, 2019 This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash by optimizing operating parameters via a novel high-efficient swarm intelligence optimization algorithm (grey wolf optimizer algorithm, GWO) for coal-fired boiler.
Yiding Zhao +6 more
doaj +1 more source
GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization
MathematicsThis 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 +1 more
openaire +2 more sources
IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) DI TOKO CITRA TANI JEMBER
Majalah Ilmiah Matematika dan Statistika, 2019 Generally, optimization is defined as the process of determining the minimum or maximum value that depends on the function of the goal, even now there are many problems regarding optimization. One of them is the problem regarding the selection of goods to be included in a limited storage medium called Knapsack problem.
Kiswara Agung Santoso +2 more
openaire +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
Energy Science &Engineering, EarlyView.This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source