High-Performance Simulation-Based Optimization / Studies in Computational Intelligence Bd.833 (PDF)
(Sprache: Englisch)
This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive...
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This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.
That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.
Bibliographische Angaben
- 2019, 1st ed. 2020, 291 Seiten, Englisch
- Herausgegeben: Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-ghazali Talbi
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030187640
- ISBN-13: 9783030187644
- Erscheinungsdatum: 01.06.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 9.07 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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