An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism

This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO lacks a velocity term in its position-updating procedure, and this is the main factor weakening the exploration capability of this algorithm. In VAGWO...

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Bibliographic Details
Main Authors: Farshad Rezaei, Hamid Reza Safavi, Mohamed Abd Elaziz, Shaker H. Ali El-Sappagh, Mohammed Azmi Al-Betar, Tamer Abuhmed
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
optimization
meta-heuristic algorithms
swarm intelligence algorithms
global search
exploration
exploitation
Online Access:https://www.mdpi.com/2227-7390/10/3/351

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https://www.mdpi.com/2227-7390/10/3/351

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