Magnetic targets positioning method based on multi-strategy improved Grey Wolf optimizer

Magnetic target state estimation is a widely applied technology, but it also faces many challenges in practical applications. One of the most critical challenges is the issue of estimation accuracy. The Grey Wolf Optimizer (GWO) is one of the more successful swarm intelligence algorithms in recent y...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 15452 - 30
Main Authors:	Lu, Binjie, Li, Zongji, Zhang, Xiaobing
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 02.05.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/166/987 639/705 Accuracy Algorithms Convergence Dynamic weights Evolution Exploratory behavior Grey Wolf optimizer Humanities and Social Sciences Magnetic target state estimation Multi-population fusion evolution multidisciplinary Nonlinear convergence factor Science Science (multidisciplinary) Tent chaos mapping Magnetic target state estimation Grey Wolf optimizer Nonlinear convergence factor Dynamic weights Adaptive levy flight Adaptive dimensional learning Multi-population fusion evolution Tent chaos mapping
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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