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Systematic taxonomic framework of metaheuristic algorithms using hierarchical clustering and structural criteria: how novel is the novelty?

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Title: Systematic taxonomic framework of metaheuristic algorithms using hierarchical clustering and structural criteria: how novel is the novelty?
Authors: Soto Calvo, Manuel1, manuel.sotocalvo@gmail.com, Lee, Han Soo1,2,3, leehs@hiroshima-u.ac.jp
Source: Artificial Intelligence Review; Feb2026, Vol. 59 Issue 2, p1-46, 46p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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        Value: 10.1007/s10462-025-11456-8
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      – Code: eng
        Text: English
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        PageCount: 46
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      – TitleFull: Systematic taxonomic framework of metaheuristic algorithms using hierarchical clustering and structural criteria: how novel is the novelty?
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              Text: Feb2026
              Type: published
              Y: 2026
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