Results 21 to 30 of about 36,380 (225)

Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy

IEEE Access, 2023
This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach.
Haojie Zhang, Jiaxing Chen, Qunli Zhang, Zhijun Chen, Xiaoyu Ding, Jianhua Yao   +5 more
doaj   +1 more source

Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System [PDF]

, 2017
This paper applies a relatively new optimization method, the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of twoterminal High Voltage Direct Current (HVDC) electrical power system.
Hassan, Heba Ahmed
core   +1 more source

Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]

, 2018
Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A, Duan, Q, Hsu, KL, Lei, X, Rahnamay Naeini, M, Sadegh, M, Sorooshian, S, Yang, T   +7 more
core   +1 more source

Calibration of camera internal parameters based on grey wolf optimization improved by levy flight and mutation

Scientific Reports, 2022
Traditional calibration technology has been widely used in measurement and monitoring; however, there are limitations of poor calibration accuracy, which can not meet the accuracy requirements in some scenarios.
Daolei Wang, Jingwei Yue, Pingping Chai, Hao Sun, Feng Li   +4 more
doaj   +1 more source

A New K means Grey Wolf Algorithm for Engineering Problems

, 2021
Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering.
Abdul, Zrar Kh., Alsadoon, Abeer, Bacanin, Nebojsa, Mohammed, Hardi M., Rashid, Tarik A.   +4 more
core   +1 more source

Path Planning For A Mobile Robot Using The Chessboard Method And Gray Wolf Optimization Algorithm In Static And Dynamic Environments [PDF]

مدیریت مهندسی و رایانش نرم
The Grey Wolf Optimization (GWO) algorithm, a computational optimization method inspired by the social behavior of wolves, has recently been effectively used to solve optimization and routing problems.
Ali Hatami Zadeh, Javad Sharifi, Meysam Yadegar   +2 more
doaj   +1 more source

Modified grey wolf method for optimization of PM motors [PDF]

ITM Web of Conferences, 2019
The paper presents an algorithm and computer software for the optimization of electromagnetic devices. The mathematical model of the optimization method was presented. The modification of the classical grey wolf algorithm was developed.
Knypiński Łukasz
doaj   +1 more source

A novel lifting point location optimization method of transmission line tower based on improved grey wolf optimizer

Scientific Reports, 2023
In the erection process of transmission line tower, the appropriate lifting point position is an important factor in ensuring the stability and balance of the lifting process and preventing deformation and damage to the towers.
Guolin Wang, Pengjie Ding, Chaosheng Huang, Zhongliang Yu   +3 more
doaj   +1 more source

Collaborative Strategy for Grey Wolf Optimization Algorithm

Modern Applied Science, 2018
Grey wolf Optimizer (GWO) is one of the well known meta-heuristic algorithm for determining the minimum value among a set of values. In this paper, we proposed a novel optimization algorithm called collaborative strategy for grey wolf optimizer (CSGWO).
Esra F. Alzaghoul, Sandi N. Fakhouri
openaire   +2 more sources

Object Classification in Astronomical Multi-Color Surveys [PDF]

, 2000
We present a photometric method for identifying stars, galaxies and quasars in multi-color surveys, which uses a library of >65000 color templates. The method aims for extracting the information content of object colors in a statistically correct way and
Abramowitz, Bahcall, Baum, Boyle, C. Wolf, Francis, Gunn, H.-J. Röser, Hartwick, K. Meisenheimer, Kinney, Lanzetta, Metcalfe, Oke, Phleps, Pickles, Schmidt, Steidel, Storrie-Lombardi, Warren, Wolf, Wolf, Wolf, York   +23 more
core   +2 more sources