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Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm [PDF]

open access: yesScientific Reports
The grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment parameters and is widely used in various fields.
Gang Cheng, Yadong Liu
doaj   +2 more sources

An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning

open access: yesIEEE Access, 2021
Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
doaj   +1 more source

Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy

open access: yesScientific Reports, 2022
The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation.
Kewen Li   +4 more
doaj   +1 more source

An Improved Grey Wolf Optimizer Based on Tracking and Seeking Modes to Solve Function Optimization Problems

open access: yesIEEE Access, 2020
Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo   +4 more
doaj   +1 more source

Research on Control Strategy of a Magnetorheological Fluid Brake Based on an Enhanced Gray Wolf Optimization Algorithm

open access: yesApplied Sciences, 2022
In order to improve the response characteristics of magnetorheological fluid brake (MRB) and reduce the braking fluctuation rate, an improved grey wolf optimization algorithm was proposed to adjust the parameters of the proportion integration ...
Lili Dai   +5 more
doaj   +1 more source

A transformer fault diagnosis method based on hybrid improved grey wolf optimization and least squares‐support vector machine

open access: yesIET Generation, Transmission & Distribution, 2022
In recent years, support vector machine has been widely used in the field of transformer fault diagnosis, but its fault diagnosis performance is still to be improved.
Yuhan Wu   +4 more
doaj   +1 more source

Kernel-Based Intuitionistic Fuzzy Clustering Image Segmentation Based on Grey Wolf Optimizer With Differential Mutation

open access: yesIEEE Access, 2021
Conventional fuzzy clustering algorithms present several disadvantages with respect to image segmentation, including a tendency to arrive at local optima and a relatively high sensitivity to noise and initial cluster centers.
Xiangxiao Lei, Honglin Ouyang
doaj   +1 more source

Application of grey wolf algorithm for solving engineering optimization problems [PDF]

open access: yesTehnika, 2021
This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains the method itself and then the main algorithms of the GWO method as well as their mathematical models.
Milenković Branislav N.   +2 more
doaj   +1 more source

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

open access: yesمدیریت 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   +2 more
doaj   +1 more source

Altered Grey Wolf Optimization and Taguchi Method with FEA for Six-Phase Copper Squirrel Cage Rotor Induction Motor Design

open access: yesEnergies, 2020
This paper presents an altered grey wolf optimization, the Taguchi method, and finite element analysis (FEA) with two-phase multi-objective optimization for the design of a six-phase copper squirrel cage rotor induction motor (SCSCRIM).
Chih-Hong Lin
doaj   +1 more source

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