Active Robust Optimization: Optimizing For Robustness Of Changeable Products by Shaul SalomonActive Robust Optimization: Optimizing For Robustness Of Changeable Products by Shaul Salomon

Active Robust Optimization: Optimizing For Robustness Of Changeable Products

byShaul Salomon

Hardcover | August 17, 2019

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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 hi...
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Title:Active Robust Optimization: Optimizing For Robustness Of Changeable ProductsFormat:HardcoverProduct dimensions:219 pages, 9.41 × 7.24 × 0.98 inShipping dimensions:9.41 × 7.24 × 0.98 inPublished:August 17, 2019Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3030150496

ISBN - 13:9783030150495

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Table of Contents

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