Active robust optimization [electronic resource] : optimizing for robustness of changeable products / by Shaul Salomon.
- 作者： Salomon, Shaul.
- 其他作者：
- 其他題名：
- Springer theses, recognizing outstanding Ph.D. research.
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： Springer theses, recognizing outstanding Ph.D. research,
- 主題： Robust optimization. , Manufacturing processes. , Control and Systems Theory. , Optimization. , Artificial Intelligence. , Manufacturing, Machines, Tools, Processes. , Robotics and Automation.
- ISBN： 9783030150501 (electronic bk.) 、 9783030150495 (paper)
- URL：
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電子書(校內)
- 一般註：Introduction -- Background -- Active Robust Optimization -- Active Robust Multi-Objective Optimization -- Case Studies -- Conclusions -- Appendix: Calculation of the qE+ Indicator. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274501 | 機讀編目格式
館藏資訊
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.
摘要註
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.
