Data-Driven Evolutionary Optimization Integrating Evolutionary Computation, Machine Learning and Data Science
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- Hardcover
- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
Fr. 209.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
30.06.2022
Abbildungen
XXV, 393 p. 159 illus., 76 illus. in color.
Verlag
SpringerSeitenzahl
393
Maße (L/B/H)
23.5/15.5/2.3 cm
Gewicht
633 g
Auflage
22001 Auflage 1st edition 2021
Sprache
Englisch
ISBN
978-3-030-74642-1
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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