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A hybrid machine learning framework for offline signature verification using gray wolf optimization. [PDF]
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GWO-RF: A Grey Wolf Optimized Random Forest Model for Predicting Employee Turnover
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R-GWO: Representative-based grey wolf optimizer for solving engineering problems
Applied Soft Computing, 2021Abstract The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a sufficient performance for solving various optimization problems. However, it suffers from low exploration and population diversity because its optimization process is only based on the best three wolves greedily, and the information of other wolves does ...
Mahdis Banaie-Dezfouli +2 more
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GWO‐C: Grey wolf optimizer‐based clustering scheme for WSNs
International Journal of Communication Systems, 2020SummaryA wireless sensor network (WSN) is a prominent technology that could assist in the fourth industrial revolution. Sensor nodes present in the WSNs are functioned by a battery. It is impossible to recharge or replace the battery, hence energy is the most important resource of WSNs.
Deepika Agrawal +6 more
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Quality and Reliability Engineering International, 2023
AbstractAnalysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Singh Bhandari +2 more
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AbstractAnalysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Singh Bhandari +2 more
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Engineering with Computers, 2019
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 to each other. Therefore, as they catch the hunt (approaching the solution), they may create an intensity in the same or ...
Amir Seyyedabbasi, Farzad Kiani
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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 to each other. Therefore, as they catch the hunt (approaching the solution), they may create an intensity in the same or ...
Amir Seyyedabbasi, Farzad Kiani
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Grey Wolf Optimization (GWO) Algorithm
2017This chapter describes the grey wolf optimization (GWO) algorithm as one of the new meta-heuristic algorithms. First, a brief literature review is presented and then the natural process of the GWO algorithm is described. Also, the optimization process and a pseudo code of the GWO algorithm are presented in this chapter.
Hossein Rezaei +2 more
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Image Contrast Enhancement Using Histogram Equalization-Based Grey Wolf Optimizer (GWO)
2020Image contrast enhancement is a common image enhancement method in various image applications. Histogram equalization (HE) is a popular conventional and improved way to enhance the image contrast. This conventional HE and its updated versions try to maintain the original image characteristics especially in original image brightness distribution during ...
Saorabh Kumar Mondal +2 more
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Multi-group grey wolf optimizer (MG-GWO) for estimating photovoltaic solar cell model
Journal of Thermal Analysis and Calorimetry, 2020The use of photovoltaic (PV) solar systems as a direct convertor of electricity is increasing on daily basis at industrial and domestic scales. Such systems are still under worldwide investigation due to their low efficiency to have better performance.
Mohammad AlShabi +4 more
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