Active Robust Optimization: Optimizing for Robustness of Changeable Products - Shaul Salomon

Active Robust Optimization: Optimizing for Robustness of Changeable Products

(Autor)

Buch | Hardcover
XXV, 175 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-15049-5 (ISBN)
106,99 inkl. MwSt

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.

On completing his Ph.D., Dr. Shaul Solomon took up a position as lecturer at ORT Braude College, at the School of Mechanical Engineering. During his undergraduate mechanical engineering studies, he was awarded the Excellence Programme Scholarship at ORT Braude College, and made the President's List every semester. While studying for his doctorate, he received the Ph.D. Studentship Award, and was awarded the Kenneth Lindsay Scholarship for postgraduate studies. In 2012, he took part in the Marie Curie International Research Staff Exchange Scheme. He has already published five journal papers and presented his work at leading international conferences in the field of optimization, with plans to publish more work in the immediate future.

Introduction.- Background.- Active Robust Optimization.- Active Robust Multi-Objective Optimization.- Case Studies.- Conclusions.- Appendix: Calculation of the q + Indicator.


Erscheinungsdatum
Reihe/Serie Springer Theses
Zusatzinfo XXV, 175 p. 62 illus., 42 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 431 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Active Robust Optimization • Artificial Intelligence • Automated manufacturing • Autonomous Vehicles • Precision Agriculture • Smart Production
ISBN-10 3-030-15049-6 / 3030150496
ISBN-13 978-3-030-15049-5 / 9783030150495
Zustand Neuware
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