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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00795-0
Abstract: Grey wolf optimizer (GWO) is a recently developed population-based algorithm in the area of nature-inspired optimization. The leading hunters in GWO are responsible for exploring the new promising regions of the search space. However, in…
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Keywords:
glf gwo;
grey wolf;
gwo;
wolf optimizer ... See more keywords
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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00837-7
Abstract: In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions close…
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Keywords:
optimization;
grey wolf;
algorithm;
wolf optimizer ... See more keywords
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Published in 2018 at "Acta Geophysica"
DOI: 10.1007/s11600-018-0148-8
Abstract: The grey wolf optimizer (GWO) is a novel bionics algorithm inspired by the social rank and prey-seeking behaviors of grey wolves. The GWO algorithm is easy to implement because of its basic concept, simple formula,…
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Keywords:
improved grey;
grey wolf;
inversion;
wolf optimizer ... See more keywords
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Published in 2020 at "Evolving Systems"
DOI: 10.1007/s12530-019-09291-8
Abstract: This paper proposes a new algorithm for solving systems of complex nonlinear equations as an optimization problem. A hybridization algorithm from two inspired algorithms, grey wolf optimizer (GWO) and differential evolution (DE) is named GWO-DE.…
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Keywords:
optimization;
grey wolf;
nonlinear equations;
differential evolution ... See more keywords
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Published in 2017 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2016.10.062
Abstract: Abstract This paper proposes a novel grouped grey wolf optimizer to obtain the optimal parameters of interactive proportional-integral controllers of doubly-fed induction generator based wind turbine, such that a maximum power point tracking can be…
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Keywords:
doubly fed;
grey wolf;
grouped grey;
power ... See more keywords
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Published in 2019 at "Electric Power Components and Systems"
DOI: 10.1080/15325008.2019.1602687
Abstract: Abstract In this article, a new hybrid metaheuristic optimization algorithm is proposed to solve the coordination problem of directional overcurrent relays (DOCRs). The proposed algorithm is constructed using hybrid whale optimization algorithm and gray wolf…
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Keywords:
coordination;
optimization;
wolf optimizer;
optimization algorithm ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2981186
Abstract: This study presents a self-organizing interval type-2 fuzzy asymmetric cerebellar model articulation controller (MSIT2FAC) design for synchronizing chaotic satellite systems that use a modified grey wolf optimizer. The proposed control system uses MSIT2FAC as the…
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Keywords:
grey wolf;
modified grey;
controller;
wolf optimizer ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269292
Abstract: Product reuse and recovery is an efficient tool that helps companies to simultaneously address economic and environmental dimensions of sustainability. This paper presents a novel problem for stock management of reusable products in a single-vendor,…
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Keywords:
optimization algorithm;
management reusable;
whale optimization;
reusable products ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3167888
Abstract: High spectral dimensionality of hyperspectral image (HSI) has brought great redundancy for data processing. Band selection, as one of the most commonly used dimension reduction techniques, attempts to remove the redundant spectral bands, while maintaining…
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Keywords:
band;
convergence;
band selection;
gray wolf ... See more keywords
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Published in 2019 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2019.8931208
Abstract: The Grey Wolf Optimizer (GWO) is a recent metaheuristic that can be explored in many applications. This paper proposes a mechanism to tune the control parameters that influence the hunting process in the GWO in…
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Keywords:
fuzzy inference;
control parameters;
grey wolf;
mechanism ... See more keywords
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Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023042
Abstract: Abstract. In the last decade, the success achieved by convolutional neural networks (CNN) has changed the trend of research in the computer vision field from manual features to learned features for various applications. However, designing…
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Keywords:
improved competitive;
convolutional neural;
gray wolf;
optimization ... See more keywords