Results 41 to 50 of about 478 (148)

Modified grey wolf optimizer based MPPT design and experimentally performance evaluations for wind energy systems

open access: yesEngineering Science and Technology, an International Journal, 2023
The method that aims to operate the wind energy system (WES) at the maximum power point (MPP) is called the maximum power point tracking (MPPT) method in the literature.
İrfan Yazıcı   +1 more
doaj   +1 more source

Optimal Design of Voltage Reference Circuit and Ring Oscillator Circuit Using Multiobjective Differential Evolution Algorithm

open access: yesJournal of Electrical and Computer Engineering, Volume 2023, Issue 1, 2023., 2023
This paper deals with the optimal design of different VLSI circuits, namely, the CMOS voltage reference circuit and the CMOS ring oscillator (RO). The optimization technique used here is the multiobjective differential evolution algorithm (MDEA). All the circuits are designed for 90 nm technology.
Sandeep K. Dash   +7 more
wiley   +1 more source

Design of a MPPT System Based on Modified Grey Wolf Optimization Algorithm in Photovoltaic System under Partially Shaded Condition [PDF]

open access: yes, 2021
Conventional Maximum Potential Monitoring strategies such as perturbation and observation, incremental conduct, and climbing can effectively monitor the maximum power point in uniform shading, whereas failing in a partially shaded condition. Nevertheless,
Ghazal, Hatem Khalifa Emhmed   +1 more
core   +1 more source

Volitive Grey Wolf Optimizer [PDF]

open access: yes, 2023
Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics.
Bastos Filho, Carmelo   +4 more
core   +1 more source

Research on Mixed-Strategy Based Grey Wolf Optimization for Gene Expression Classification

open access: yesIEEE Access, 2023
With the advantages of easy implement and few adjustment parameters, grey wolf optimization (GWO) performs well in solving global optimization problems.
Yang Wang
doaj   +1 more source

Mixed Modified Recurring Rogers-Szego Polynomials Neural Network Control with Mended Grey Wolf Optimization Applied in SIM Expelling System

open access: yesMathematics, 2020
Due to a good ability of learning for nonlinear uncertainties, a mixed modified recurring Rogers-Szego polynomials neural network (MMRRSPNN) control with mended grey wolf optimization (MGWO) by using two linear adjusted factors is proposed to the six ...
Der-Fa Chen   +4 more
doaj   +1 more source

Experienced grey wolf optimizer through reinforcement learning and neural networks [PDF]

open access: yes, 2017
In this paper, a variant of Grey Wolf Optimizer (GWO) that uses reinforcement learning principles combined with neural networks to enhance the performance is proposed.
Emary, E, Grosan, C, Zawbaa, HM
core   +1 more source

Smart Energy Management of Residential Microgrid System by a Novel Hybrid MGWOSCACSA Algorithm [PDF]

open access: yes, 2020
Optimal scheduling of distributed energy resources (DERs) of a low-voltage utility-connected microgrid system is studied in this paper. DERs include both dispatchable fossil-fueled generators and non-dispatchable renewable energy resources.
Basak, Sourav   +2 more
core   +2 more sources

Image Denoising with Modified Grey Wolf Optimizer

open access: yesDüzce 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
doaj   +1 more source

Optimization of the Synthesis and Energy Transfer of Ca2MgWO6:Cr3+,Nd3+

open access: yesInorganics, 2021
This work pertains to Cr3+ and Nd3+ co-activated Ca2MgWO6 phosphors synthesized by high temperature solid-state method using oxides and carbonates as raw materials.
Viktor Anselm, Thomas Jüstel
doaj   +1 more source

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