Abstract
A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decisionmakers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.
| Original language | English (US) |
|---|---|
| Title of host publication | 43rd Design Automation Conference |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791858127 |
| DOIs | |
| State | Published - Jan 1 2017 |
| Event | ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 - Cleveland, United States Duration: Aug 6 2017 → Aug 9 2017 |
Publication series
| Name | Proceedings of the ASME Design Engineering Technical Conference |
|---|---|
| Volume | 2A-2017 |
Other
| Other | ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 |
|---|---|
| Country | United States |
| City | Cleveland |
| Period | 8/6/17 → 8/9/17 |
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All Science Journal Classification (ASJC) codes
- Mechanical Engineering
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Modeling and Simulation
Cite this
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Employing multidimensional data visualization tools to assess the impact of constraint uncertainties on complex design problems. / Stump, Gary Michael; Miller, Simon Walter; Yukish, Michael Andrew; Farrell, Christopher M.
43rd Design Automation Conference. American Society of Mechanical Engineers (ASME), 2017. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2A-2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Employing multidimensional data visualization tools to assess the impact of constraint uncertainties on complex design problems
AU - Stump, Gary Michael
AU - Miller, Simon Walter
AU - Yukish, Michael Andrew
AU - Farrell, Christopher M.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decisionmakers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.
AB - A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decisionmakers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.
UR - http://www.scopus.com/inward/record.url?scp=85034764292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034764292&partnerID=8YFLogxK
U2 - 10.1115/DETC2017-67902
DO - 10.1115/DETC2017-67902
M3 - Conference contribution
AN - SCOPUS:85034764292
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
ER -