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Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science - Studies in Computational Intelligence Yaochu Jin 2021 edition
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Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science - Studies in Computational Intelligence
Yaochu Jin
This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms.
393 pages, 76 Illustrations, color; 83 Illustrations, black and white; XXV, 393 p. 159 illus., 76 il
| Medien | Bücher Gebundenes Buch (Buch mit hartem Rücken und steifem Einband) |
| Erscheinungsdatum | 29. Juni 2021 |
| ISBN13 | 9783030746391 |
| Verlag | Springer Nature Switzerland AG |
| Seitenanzahl | 393 |
| Maße | 150 × 220 × 20 mm · 762 g |
| Sprache | Deutsch |
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