نتایج جستجو برای: grey wolf optimizer gwo

تعداد نتایج: 32485  

Journal: :Advances in Engineering Software 2014
Seyed Mohammad Mirjalili Seyed Mohammad Mirjalili Andrew Lewis

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting, searching for prey, enc...

 Sequence dependent set-up times scheduling problems (SDSTs), availability constraint and transportation times are interesting and important issues in production management, which are often addressed separately. In this paper, the SDSTs job shop scheduling problem with position-based learning effects, job-dependent transportation times and multiple preventive maintenance activities is studied. ...

This paper aims at optimizing the finite isotropic plates with the hexagonal cutout subjected to  plane loading using metaheuristic optimization algorithms. This research uses Differential Evolution Algorithm (DE) and Harmony Search Algorithm (HSA) from the evolutionary algorithm category, Big Bang- Big Crunch Algorithm (BB-BC) from the physics-based algorithm category, and Grey Wolf Optimizer ...

2017
Deepak Kumar Lal

This paper deals with automatic generation control of multi area power system using a Fuzzy PID controller. The controller parameters are optimized by Grey Wolf Optimizer (GWO) algorithm. Initially, Hydro-Thermal-Gas two area power systems is considered and superiority of the proposed controller is verified by comparing the results with GWO optimized classical PID controller as well as recently...

Journal: :International Journal of Intelligent Systems and Applications in Engineering 2019

Journal: : 2022

Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...

Journal: :Bulletin of Electrical Engineering and Informatics 2021

The tuning of optimal controller parameters in wind plant is crucial order to minimize the effect wake interaction between turbines. purpose this paper develop an improved grey wolf optimizer (I-GWO) tune turbines so that total energy production a increased. updating mechanism original GWO modified improve efficiency exploration and exploitation phase while avoiding trapping local minima soluti...

2017
Li Wang Jiguang Yue Yongqing Su Feng Lu Qiang Sun Laura Ramirez Elizondo Frede Blaabjerg

The reliability of power packs is very important for the performance of electronic equipment and ensuring the reliability of power electronic circuits is especially vital for equipment security. An alteration in the converter component parameter can lead to the decline of the power supply quality. In order to effectively prevent failure and estimate the remaining useful life (RUL) of superbuck ...

H. Fattahi,

The evaluation of seismic slope performance during earthquakes is important, because the failure of slope (such as an earth dam, natural slope, or constructed earth embankment) can result in significant financial losses and human. It is important, therefore, to be able to forecast such displacements induced by earthquake. However, the traditional forecasting methods, such as empirical formulae,...

Journal: :Algorithms 2017
Radu-Emil Precup Radu-Codrut David Alexandra-Iulia Stînean Emil M. Petriu Florin Dragan

This paper proposes an easily understandable Grey Wolf Optimizer (GWO) applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs). GWO is employed for solving optimization problems focused on the minimization of discrete-time objective functions defined as the weighted sum of the absolute value of the control error and of the squared ou...

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