Results 51 to 60 of about 3,332,658 (221)

A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

, 2020
Because of their high dimensionality, dealing with large datasets can hinder the data mining process. Thus, the feature selection is a pre-process mandatory phase for reducing the dimensionality of datasets through using the most informative features and
de Albuquerque, Victor Hugo C., Mirjalili, S, Abdel-Basset, M, El-Shahat, Doaa, El-henawy, Ibrahim, El-Shahat, D, de Albuquerque, VHC, El-henawy, I, Mirjalili, Seyedali, Abdel-Basset, Mohamed   +9 more
core   +1 more source

Risk prediction of coal and gas outburst

Gong-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

Point Cloud Registration Algorithm Based on the Grey Wolf Optimizer [PDF]

IEEE Access, 2020
In view of the long computation time and low registration accuracy of the current point cloud registration algorithm, a point cloud registration algorithm based on the grey wolf optimizer (GWO) is proposed, denoted PCR-GW. The algorithm uses the centralization method to solve the translation matrix and then simplifies the points of the initial point ...
Yaqing Feng, Jialin Tang, Binghua Su, Qinglang Su, Zhuang Zhou   +4 more
openaire   +3 more sources

Autonomous electric vehicle charging based on Grey Wolf Optimizer

, 2023
LAUREA MAGISTRALEIl motivo di questa tesi, "Ricarica Autonoma di Veicoli Elettrici basata sull’Optimizzazione del Grey Wolf Optimizer," affronta la sfida critica dell’ottimizzazione della ricarica dei veicoli elettrici nel contesto delle moderne reti di ...
Tahir, Salah-Ud-Din
core  

Structural Optimization Using Grey Wolf Optimizer and Its Variants

ITEGAM-JETIA
Now a days, many metaheuristic optimization algorithms are invariably used in the field of engineering and data science. In structural mechanics, many stochastic optimization algorithms are employed for solving the complex numerical problems.
Bhavik Dipakbhai Upadhyay, Ms. Sonal T. Dave, Vishal J. Pandya, Jignesh G. Parmar, Hasmukh P. Koringa, Miral J. Patel   +5 more
doaj   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

A Modified Grey Wolf Optimizer for Optimum Parameters of Multilayer Type-2 Asymmetric Fuzzy Controller

IEEE Access, 2020
This study presents a modified algorithm of the grey wolf optimizer to solve the problem of learning rate selection in the multilayer type-2 asymmetric fuzzy controller (MT2AFC).
Tien-Loc Le, Tuan-Tu Huynh, Sung Kyung Hong   +2 more
doaj   +1 more source

A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems

Discrete Dynamics in Nature and Society, 2018
We propose a hybrid discrete grey wolf optimizer (HDGWO) in this paper to solve the weapon target assignment (WTA) problem, a kind of nonlinear integer programming problems.
Jun Wang, Pengcheng Luo, Xinwu Hu, Xiaonan Zhang   +3 more
doaj   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Recombinant Monoclonal Antibodies for Detecting the Tubulin Post‐Translational Modifications Glutamylation and Lysine‐40 Acetylation

Cytoskeleton, EarlyView.
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius, Ezekiel C. Thomas, Erik H. Collet, Erin Jenson, Chad G. Pearson, Ryoma Ohi, Kristen J. Verhey   +6 more
wiley   +1 more source