Results 101 to 110 of about 4,354 (214)
Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita +5 more
doaj +1 more source
Grey Wolf Optimizer (GWO) is inspired by how grey wolves (Canis Lupus) searching its prey. The GWO relatively new swarm-based intelli- gence and the only algorithms that are based on the leadership hierarchy.
Abdullah, Rosni, Ahmad Affendi Hashim
core +1 more source
Improved Grey Wolf Algorithm: A Method for UAV Path Planning
The Grey Wolf Optimizer (GWO) algorithm is recognized for its simplicity and ease of implementation, and has become a preferred method for solving global optimization problems due to its adaptability and search capabilities.
Xingyu Zhou, Guoqing Shi, Jiandong Zhang
doaj +1 more source
Selective Opposition based Grey Wolf Optimization
The use of metaheuristics is widespread for optimization in both scientific and industrial problems due to several reasons, including flexibility, simplicity, and robustness.
Sarkar, Ram +3 more
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Feature Selection Algorithm Based on Multi Strategy Grey Wolf Optimizer
Part 1: Machine LearningInternational audienceFeature selection is an important part of data mining, image recognition and other fields. The efficiency and accuracy of classification algorithm can be improved by selecting the best feature subset.
Wan, Guoqiang +7 more
core +1 more source
Crossover grey wolf optimizer and discrete chaotic map for substitution box design and optimization
The efficiency of a cryptographical scheme is the effective interplay between its various components. Among these components, the substitution box, also known as the S-box, plays a crucial role in establishing the robustness of the cryptographic system.
Lawah, Ali Ibrahim
core +1 more source
LTE NETWORKS BTS LOCATION OPTIMATION WITH MODIFIED GREY WOLF OPTIMIZER [PDF]
Base station is the main network element in cellular networks deployment include LTE that nowadays widely used for data communication (e.g. internet access).
MIRA KOMALA DEWI
core
In recent years, large-scale optimization problems have become increasingly common in various fields, such as machine learning and data analysis, generating increased references to both computational cost and accurate solutions.
Glykeria Kyrou +3 more
doaj +1 more source
This paper introduces a novel strategy for tracking the Maximum Power Point (MPP) using Grey Wolf Equilibrium Optimizer (GWEO) algorithm, which integrates a search mechanism of Grey Wolf Optimizer (GWO) and Equilibrium Optimizer (EO).
Feriel Abdelmalek +4 more
doaj +1 more source
MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm
Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy.
Aripriharta Aripriharta +6 more
openaire +2 more sources

