Data-Driven Evolutionary Optimization
Produktnummer:
18888564ffa3814be89ac143305356e0bb
| Autor: | Jin, Yaochu Sun, Chaoli Wang, Handing |
|---|---|
| Themengebiete: | Computational Intelligence Data-Driven Evolutionary Optimization Evolutionary Optimization Machine Learning Techniques Metaheuristic Algorithms |
| Veröffentlichungsdatum: | 29.06.2021 |
| EAN: | 9783030746391 |
| Sprache: | Englisch |
| Seitenzahl: | 393 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Untertitel: | Integrating Evolutionary Computation, Machine Learning and Data Science |
Produktinformationen "Data-Driven Evolutionary Optimization"
Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. 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. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.
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