Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Oliva, Diego (Editor), Valdivia, Arturo (Editor), Mousavirad, Seyed Jalaleddin (Editor), Kalita, Kanak (Editor)
Sumario:XI, 806 p. 289 illus., 233 illus. in color.
text
Lenguaje:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Colección:Studies in Computational Intelligence, 806
Materias:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:https://doi.org/10.1007/978-3-031-78440-8
Formato: Electrónico Libro

Internet

https://doi.org/10.1007/978-3-031-78440-8

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