Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy
IEEE Access, 2023 This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach.
Haojie Zhang +5 more
doaj +1 more source
Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System [PDF]
, 2017 This paper applies a relatively new optimization method, the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of twoterminal High Voltage Direct Current (HVDC) electrical power system.
Hassan, Heba Ahmed
core +1 more source
A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
Algorithms, 2015 Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization.
Qifang Luo +3 more
doaj +1 more source
A hybrid swarm intelligence feature selection approach based on time-varying transition parameter [PDF]
, 2023 Feature selection aims to reduce the dimensionality of a dataset by removing superfluous attributes. This paper proposes a hybrid approach for feature selection problem by combining particle swarm optimization (PSO), grey wolf optimization (GWO), and ...
Keshk, Arabi +2 more
core +3 more sources
Analysis of Grey Wolf Optimization GWO in Economic Load Dispatch Problem
, 2022 This paper presents GWO flow diagram and algorithm for finding best values which update the generators. GWO algorithm establishes a relation as to how generating level is allocated to each power station analogus to the food divided amongst alpha, beta and delta wolves as per their hierarchy.
Someya Sharma +3 more
openaire +1 more source
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
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A New K means Grey Wolf Algorithm for Engineering Problems
, 2021 Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering.
Abdul, Zrar Kh. +4 more
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3D Path Planning Method for Multi-UAVs Inspired by Grey Wolf Algorithms [PDF]
, 2021 Efficient and collision-free pathfinding, between source and destination locations for multi-Unmanned Aerial Vehicles (UAVs), in a predefined environment is an important topic in 3D Path planning methods.
Aliyev, Royal +4 more
core +3 more sources
An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism
Mathematics, 2022 This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO lacks a velocity term in its position-updating procedure, and this is the main factor weakening the ...
Farshad Rezaei +5 more
doaj +1 more source
Gray Wolf optimization method for automatic ventilation systems of clean accessories [PDF]
, 2018 У роботі розглядається можливість оптимізації систем автоматичного регулювання технологічних параметрів неперервних процесів. Проведено огляд сучасних пошукових алгоритмів оптимізації, подібних до роботи біологічних та фізичних об’єктів і структур ...
Піргач, Юлія Сергіївна +1 more
core +1 more source