The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus

The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus

Hyper-heuristics emerged as a broader metaheuristic framework to address the limitations of traditional optimization heuristics. By abstracting the design of low-level heuristics, hyper-heuristics offer a flexible and adaptable approach to solving complex problems. This study conducts a bibliometric...

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Bibliographic Details
Main Authors: Helen C. Peñate-Rodríguez, Gilberto Rivera, J. Patricia Sánchez-Solís, Rogelio Florencia
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Algorithms
Subjects:
hyper-heuristic algorithms
citation impact
publication trends
intelligent optimization
Online Access:https://www.mdpi.com/1999-4893/18/5/294
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