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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00882-2
Abstract: The advent of new data-mining techniques and, more recently, swarm-based optimization algorithms have antiquated traditional models in the field of energy performance analysis. This paper investigates the potential of two state-of-the-art hybrid methods, namely grasshopper…
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Keywords:
wolf optimization;
grasshopper optimization;
area;
optimization ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03948-x
Abstract: Hybrid algorithms with different features are an important trend in algorithm improvement. In this paper, an improved grey wolf optimization based on the two-stage search of hybrid covariance matrix adaptation-evolution strategy (CMA-ES) is proposed to…
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Keywords:
optimization;
wolf;
grey wolf;
wolf optimization ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09330-6
Abstract: Data hiding in video is a method used to hide secret information within the video which is useful for secure multimedia data communication. The main goal of any video steganographic system is to reduce distortion…
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Keywords:
wolf optimization;
video;
grey wolf;
oppositional grey ... See more keywords
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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03320-8
Abstract: Collaborative Filtering, though a successful recommendation technique is vulnerable to shilling attacks due to its open nature. These attacks alter recommendations being generated for the user by inserting fake user profiles in the database. To…
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Keywords:
grey wolf;
wolf optimization;
detection shilling;
technique ... See more keywords
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Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2018.11.034
Abstract: Abstract Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and performance are different for solving specific class of optimization problems than another. Further, search algorithms are conceptualized of exploration and exploitation aspects. Ameliorated…
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Keywords:
optimization;
grey wolf;
wolf optimization;
load dispatch ... See more keywords
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Published in 2018 at "Flow Measurement and Instrumentation"
DOI: 10.1016/j.flowmeasinst.2018.10.015
Abstract: Abstract In recent years, there has been an increasing interest in implementing artificial intelligence in radiation based multiphase flow meter systems. This study revolves around an approach in which the grey wolf optimization (GWO) algorithm…
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Keywords:
flow meter;
wolf optimization;
three phase;
grey wolf ... See more keywords
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Published in 2017 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2017/9512741
Abstract: In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO-KELM, for medical diagnosis. The proposed IGWO feature selection approach…
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Keywords:
wolf optimization;
feature;
diagnosis;
grey wolf ... See more keywords
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Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/4576015
Abstract: An improved Grey Wolf Optimization (GWO) algorithm with differential evolution (DEGWO) combined with fuzzy C-means for complex synthetic aperture radar (SAR) image segmentation was proposed for the disadvantages of traditional optimization and fuzzy C-means (FCM)…
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Keywords:
wolf optimization;
image;
grey wolf;
image segmentation ... See more keywords
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Published in 2019 at "SIMULATION"
DOI: 10.1177/0037549718777607
Abstract: With its enormous environmental and monetary benefits, the wind turbine has become an acceptable alternative to the generation of electricity by fossil fuel or nuclear power plants. Research remains focused on improving the performance of…
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Keywords:
wolf optimization;
system;
optimization;
grey wolf ... See more keywords
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Published in 2022 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132221085324
Abstract: The aim of this study is to investigate nonlinear DC motor behavior and to control velocity as output variable. The linear model is designed, but as it is experimentally verified that it does not describe…
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Keywords:
optimization algorithm;
control;
motor;
gray wolf ... See more keywords
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Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814018765535
Abstract: Blocking flow shop scheduling problems have important applications in manufacturing. Because of the imprecise and vague temporal parameters in real-world production, this article formulates a fuzzy blocking flow shop scheduling problem with fuzzy processing time…
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Keywords:
wolf optimization;
objective gray;
multi objective;
hybrid multi ... See more keywords