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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.
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2025年4月25日 |
| ISBN13 | 9783031784392 |
| 出版商 | Springer International Publishing AG |
| 页数 | 806 |
| 商品尺寸 | 150 × 220 × 20 mm · 1,53 kg |
| 语言 | 德语 |
| 编辑 | Kalita, Kanak |
| 编辑 | Mousavirad, Seyed Jalaleddin |
| 编辑 | Oliva, Diego |
| 编辑 | Valdivia, Arturo |