A multi hidden recurrent neural network with a modified grey wolf optimizer. [PDF]
PLoS ONE, 2019 Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Tarik A Rashid +2 more
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Modified Grey Wolf Optimizer for Global Engineering Optimization [PDF]
Applied Computational Intelligence and Soft Computing, 2016 Nature-inspired algorithms are becoming popular among researchers due to their simplicity and flexibility. The nature-inspired metaheuristic algorithms are analysed in terms of their key features like their diversity and adaptation, exploration and ...
Nitin Mittal +2 more
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Routing Protocol for Heterogeneous Wireless Sensor Networks Based on a Modified Grey Wolf Optimizer [PDF]
Sensors, 2020 Wireless sensor network (WSN) nodes are devices with limited power, and rational utilization of node energy and prolonging the network lifetime are the main objectives of the WSN’s routing protocol.
Xiaoqiang Zhao +3 more
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A Modified Grey Wolf Optimizer Based Data Clustering Algorithm
Applied Artificial Intelligence, 2021 Data clustering is an important data analysis and data mining tool in many fields such as pattern recognition and image processing. The goal of data clustering is to optimally organize similar objects into clusters.
Ramin Ahmadi +2 more
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MGWO-CNN: hyperparameter optimization of CNN classifier for cervical cancer detection using Modified Grey Wolf Optimizer [PDF]
Scientific ReportsEvery nation reports an increasing number of deaths among women due to cervical cancer each day, which has become a major global issue. Rapid diagnosis and treatment of cervical cancer can reduce mortality rates. Most studies on cervical cancer detection
Sanat Jain, Ashish Jain, Mahesh Jangid
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Modified Grey Wolf Optimizer and Application in Parameter Optimization of PI Controller
Applied SciencesThe Grey Wolf Optimizer (GWO) is a well-known metaheuristic algorithm that currently has an extremely wide range of applications. However, with the increasing demand for accuracy, its shortcomings of low exploratory and population diversity are ...
Long Sheng, Sen Wu, Zongyu Lv
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MBB-MOGWO: Modified Boltzmann-Based Multi-Objective Grey Wolf Optimizer
SensorsThe primary objective of multi-objective optimization techniques is to identify optimal solutions within the context of conflicting objective functions.
Jing Liu +3 more
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A novel algorithm of MGWO-based PI controller for a single-stage grid-connected flyback inverter with ZVS [PDF]
Automatika, 2022 An effective approach on zero-voltage switching scheme for a single-stage grid-connected flyback inverter along with the introduction of Modified Grey Wolf Optimizer technique based on the proportional integral controller is proposed.
N. K. Sakthivel, S. Sutha
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Image Denoising with Modified Grey Wolf Optimizer
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018 In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
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Disassembly sequence planning based on a modified grey wolf optimizer [PDF]
The International Journal of Advanced Manufacturing Technology, 2021 Abstract Disassembly sequence planning (DSP) can effectively increase the disassembly efficiency, shorten the disassembly cycle, reduce disassembly costs and reduce environmental hazards of end-of-life (EOL) products, playing an important role in manufacturing industries. Thus, it is urgent to propose an approach to solve the DSP problem.
Jin Xie, Xinyu Li, Liang Gao
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