An improved grey wolf optimization algorithm with multiple tunnels for updating

The grey wolf optimization (GWO) algorithm was proposed in 2014 and after several years of applications, it was used worldwide and all over the subjects which involved computation. Various improvements have been raised to increase the capability of optimization. Based on the best performance of the...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1678; no. 1; pp. 12096 - 12101
Main Authors: Zhao, Juan, Gao, Zheng-Ming
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.11.2020
Subjects:
Algorithms
Optimization
Physics
Tunnels
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:The grey wolf optimization (GWO) algorithm was proposed in 2014 and after several years of applications, it was used worldwide and all over the subjects which involved computation. Various improvements have been raised to increase the capability of optimization. Based on the best performance of the slimd mould (SM) algorithm in optimization, a hybridization of the SM and GWO algorithms was proposed about the updating equations, and the GWO algorithm with multiple tunnels for individuals to update their positions during iterations was revised. Simulation experiments were carried out and comparisons were made between the GWO algorithm with variable weights and our proposed new one. Better performance were confirmed and reported as conclusions.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1678/1/012096