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contributor authorS. Gunawan
contributor authorGraduate Research Assistant
contributor authorS. Azarm
date accessioned2017-05-09T00:13:53Z
date available2017-05-09T00:13:53Z
date copyrightMay, 2004
date issued2004
identifier issn1050-0472
identifier otherJMDEDB-27786#395_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/130511
description abstractWe present a method for estimating the parameter sensitivity of a design alternative for use in single objective robust design optimization. The method is non-gradient based: it is applicable even when the objective function of an optimization problem is non-differentiable and/or discontinuous with respect to the parameters. Also, the method does not require a presumed probability distribution for parameters, and is still valid when parameter variations are large. The sensitivity estimate is developed based on the concept that associated with each design alternative there is a region in the parameter variation space whose properties can be used to predict that design’s sensitivity. Our method estimates such a region using a worst-case scenario analysis and uses that estimate in a bi-level robust optimization approach. We present a numerical and an engineering example to demonstrate the applications of our method.
publisherThe American Society of Mechanical Engineers (ASME)
titleNon-Gradient Based Parameter Sensitivity Estimation for Single Objective Robust Design Optimization
typeJournal Paper
journal volume126
journal issue3
journal titleJournal of Mechanical Design
identifier doi10.1115/1.1711821
journal fristpage395
journal lastpage402
identifier eissn1528-9001
keywordsDesign
keywordsOptimization AND Gradients
treeJournal of Mechanical Design:;2004:;volume( 126 ):;issue: 003
contenttypeFulltext


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