contributor author | S. Gunawan | |
contributor author | Graduate Research Assistant | |
contributor author | S. Azarm | |
date accessioned | 2017-05-09T00:13:53Z | |
date available | 2017-05-09T00:13:53Z | |
date copyright | May, 2004 | |
date issued | 2004 | |
identifier issn | 1050-0472 | |
identifier other | JMDEDB-27786#395_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/130511 | |
description abstract | We 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Non-Gradient Based Parameter Sensitivity Estimation for Single Objective Robust Design Optimization | |
type | Journal Paper | |
journal volume | 126 | |
journal issue | 3 | |
journal title | Journal of Mechanical Design | |
identifier doi | 10.1115/1.1711821 | |
journal fristpage | 395 | |
journal lastpage | 402 | |
identifier eissn | 1528-9001 | |
keywords | Design | |
keywords | Optimization AND Gradients | |
tree | Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 003 | |
contenttype | Fulltext | |