UID:
almahu_9948126381502882
Format:
XXV, 175 p. 62 illus., 42 illus. in color.
,
online resource.
Edition:
1st ed. 2019.
ISBN:
9783030150501
Series Statement:
Springer Theses, Recognizing Outstanding Ph.D. Research,
Content:
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.
Note:
Introduction -- Background -- Active Robust Optimization -- Active Robust Multi-Objective Optimization -- Case Studies -- Conclusions -- Appendix: Calculation of the qϵ+ Indicator.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030150495
Additional Edition:
Printed edition: ISBN 9783030150518
Additional Edition:
Printed edition: ISBN 9783030150525
Language:
English
DOI:
10.1007/978-3-030-15050-1
URL:
https://doi.org/10.1007/978-3-030-15050-1
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