Buch, Englisch, 175 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 477 g
Reihe: Springer Theses
Buch, Englisch, 175 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 477 g
Reihe: Springer Theses
ISBN: 978-3-030-15049-5
Verlag: Springer International Publishing
This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products. Since any product that can change its configuration during normal operation may be considered a “changeable product,” the framework is widely applicable. Further, the methodology enables designers to use adaptability to deal with uncertainties and so avoid over-conservative designs.
Offering a comprehensive overview of the framework, including its unique features, such as its ability to optimally respond to uncertain situations, the book also defines a new class of optimization problem and examines the effects of changes in various parameters on their solution. Lastly, it discusses innovative approaches for solving the problem and demonstrates these with two examples from different fields in engineering design: optimization of an optical table and optimization of a gearbox.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Intelligente & automatisierte Transportsysteme
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
Weitere Infos & Material
Introduction.- Background.- Active Robust Optimization.- Active Robust Multi-Objective Optimization.- Case Studies.- Conclusions.- Appendix: Calculation of the q Indicator.