High-Performance Simulation-Based Optimization
High-Performance Simulation-Based Optimization
Buch
- Herausgeber: Thomas Bartz-Beielstein, El-Ghazali Talbi, Peter Koro¿ec, Bogdan Filipi¿
- Springer International Publishing, 06/2019
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783030187637
- Bestellnummer: 9272740
- Umfang: 308 Seiten
- Nummer der Auflage: 19001
- Auflage: 1st ed. 2020
- Gewicht: 629 g
- Maße: 235 x 155 mm
- Stärke: 22 mm
- Erscheinungstermin: 14.6.2019
- Serie: Studies in Computational Intelligence - Band 833
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von High-Performance Simulation-Based Optimization
Klappentext
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.