NDLI: An Efficient Feasibility Robust Optimization Method Using a Sensitivity Region Concept

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Gunawan, S. Azarm, S.
Copyright Year	2004
Abstract	We present a new robust optimization method that ensures feasibility of an optimized design when there are uncontrollable variations in design parameters. This method is developed based on the notion of a sensitivity region, which is a measure of how far a feasible design is from the boundary of a feasible domain in the parameter variation space. As the design moves further inside the feasible domain, and thus becoming more feasibly robust, the sensitivity region becomes larger. Our method is not sampling-based so it does not require a presumed probability distribution as input and is efficient in terms of function evaluations. In addition, our method does not use gradient approximation and thus is applicable to problems having non-differentiable constraint functions and large parameter variations. As a demonstration, we applied our method to an engineering example, the design of a control valve actuator linkage. In this example, we show that the method is efficient and the optimum design obtained is robust.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	11
Ending Page	20
Page Count	10
File Format	PDF
ISBN	0791846946
DOI	10.1115/DETC2004-57048
e-ISBN	0791837424
Volume Number	Volume 1: 30th Design Automation Conference
Conference Proceedings	ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2004-09-28
Publisher Place	Salt Lake City, Utah, USA
Access Restriction	Subscribed
Subject Keyword	Sensitivity region Robust optimization Feasibility robustness Optimization
Content Type	Text
Resource Type	Article

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