Results 31 to 40 of about 39,754 (281)

Risk prediction of coal and gas outburst

open access: yesGong-kuang zidonghua, 2022
In order to solve the problems of low accuracy and slow response speed of existing support vector machine (SVM)-based coal and gas outburst prediction methods, a risk prediction method of coal and gas outburst based on improved grey wolf optimizer (IGWO)
LI Yan, NAN Xinyuan, LIN Wanke
doaj   +1 more source

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

open access: yesApplied Soft Computing, 2021
Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant impact on the efficiency of wind power generation systems.
Aytaç Altan, S. Karasu, E. Zio
semanticscholar   +1 more source

Wireless Sensor Network Deployment of 3D Surface Based on Enhanced Grey Wolf Optimizer

open access: yesIEEE Access, 2020
Aiming at the difficulty of deploying wireless sensor networks (WSNs) on three-dimensional (3D) surfaces, based on the grey wolf optimizer (GWO), an enhanced version of the grey wolf optimizer is proposed for deploying WSNs on 3D surfaces, namely the ...
Zhendong Wang, Huamao Xie
doaj   +1 more source

An Improved Grey Wolf Optimizer and Its Application in Robot Path Planning

open access: yesBiomimetics, 2023
This paper discusses a hybrid grey wolf optimizer utilizing a clone selection algorithm (pGWO-CSA) to overcome the disadvantages of a standard grey wolf optimizer (GWO), such as slow convergence speed, low accuracy in the single-peak function, and easily
Yun Ou, Pengfei Yin, Liping Mo
semanticscholar   +1 more source

Grey wolf optimizer: Overview, modifications and applications [PDF]

open access: yesInternational Research Journal of Science, Technology, Education, and Management, 2021
The complexity of real-world problems motivated researchers to innovate efficient problem-solving techniques. Generally natural Inspired, Bio Inspired, Metaheuristics based on evolutionary computation and swarm intelligence algorithms have been ...
Saman M. Almufti   +3 more
doaj   +1 more source

A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification

open access: yes, 2022
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is introduced. The enhanced version is interesting and complementary in terms of the direction of movement of the leader wolf, and a special parameter that allows the faster ...
Mirjalili, S   +4 more
core   +1 more source

A novel algorithm of MGWO-based PI controller for a single-stage grid-connected flyback inverter with ZVS

open access: yesAutomatika, 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
doaj   +1 more source

Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

open access: yesMathematics, 2022
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset   +3 more
doaj   +1 more source

A novel hybrid GWO-SCA approach for optimization problems

open access: yesEngineering Science and Technology, an International Journal, 2017
Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj   +1 more source

Modified Grey Wolf Optimizer for Global Engineering Optimization [PDF]

open access: yesApplied 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 exploitation, and attractions and diffusion mechanisms.
Nitin Mittal   +2 more
openaire   +2 more sources

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