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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions - Studies in Computational Intelligence
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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 | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 25. april 2025 |
| ISBN13 | 9783031784392 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 806 |
| Mål | 150 × 220 × 20 mm · 1,53 kg |
| Språk | Tysk |
| Redaktør | Kalita, Kanak |
| Redaktør | Mousavirad, Seyed Jalaleddin |
| Redaktør | Oliva, Diego |
| Redaktør | Valdivia, Arturo |