Wolf Algorithm
The Wolf Algorithm is a computational method for estimating the largest Lyapunov exponent by tracking the divergence of nearby trajectories in a dynamical system through continuous rescaling within a normalized subspace.
418
Publications
19.8K
Citations
1.3K
Authors
600
Institutions
Publications per year
2017–2026
352
Parents
418
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Mohamed Abdel‐Basset, Ibrahim El-Henawy, Victor Hugo C. de Albuquerque et al. · Expert Systems with Applications · 2019 · 326 citations · Full text
Computing, Computational Engineering, Feature Engineering +14
1–5 of 418
1.3K
Chinese People's Armed Police Force Engineering University, China
7 publications · 214 citations
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1–5 of 1.3K
600
Wenzhou University
Wenzhou, China
8 h-index
28 publications
2.9K citations
Vellore Institute of Technology University
Vellore, India
8 h-index
11 publications
364 citations
Air Force Engineering University
Xi'an, China
6 h-index
13 publications
370 citations

North China Electric Power University
Beijing, China
6 h-index
17 publications
409 citations

Beihang University
Beijing, China
6 h-index
21 publications
719 citations
Chinese People's Armed Police Force Engineering University
Xi'an, China
5 h-index
8 publications
212 citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
11 publications
213 citations
Jilin University
Changchun, China
5 h-index
8 publications
228 citations
1–8 of 600
29 publications · 1.4K citations
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17 publications · 1.2K citations
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9 publications · 389 citations
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7 publications · 232 citations
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7 publications · 165 citations
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