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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions - Studies in Computational Intelligence
Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions - Studies in Computational Intelligence
This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches. The chapters are meticulously selected and organized in three sections—metaheuristics, machine learning and engineering applications.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 25, 2025 |
| ISBN13 | 9783031784392 |
| Publishers | Springer International Publishing AG |
| Pages | 806 |
| Dimensions | 150 × 220 × 20 mm · 1.53 kg |
| Language | German |
| Editor | Kalita, Kanak |
| Editor | Mousavirad, Seyed Jalaleddin |
| Editor | Oliva, Diego |
| Editor | Valdivia, Arturo |