Robust dual-response optimization
This article presents a robust optimization reformulation of the dual-response problem
developed in response surface methodology. The dual-response approach fits separate …
developed in response surface methodology. The dual-response approach fits separate …
Introducing uncertainty in multidiscipline ship design
S Hannapel, N Vlahopoulos - Naval Engineers Journal, 2010 - ingentaconnect.com
Mathematical formulations of reliability‐based design and robust design have been
developed for addressing the presence of uncertainty during optimization. When reliability is …
developed for addressing the presence of uncertainty during optimization. When reliability is …
Development of Multidisciplinary Design Optimization Algorithms for Ship Design Under Uncertainty.
SE Hannapel - 2012 - deepblue.lib.umich.edu
This dissertation presents the development and application of two new multidisciplinary
design optimization (MDO) algorithms. The first MDO algorithm is a multi-level algorithm …
design optimization (MDO) algorithms. The first MDO algorithm is a multi-level algorithm …
Robust optimization based on the Propagation of Variance method for analytic design models
L Picheral, K Hadj-Hamou, J Bigeon - International Journal of …, 2014 - Taylor & Francis
The robust optimisation is performed in the preliminary design phase dealing with analytic
models. The analytic models come either from the finite element models or from the physical …
models. The analytic models come either from the finite element models or from the physical …
Uncertainty analysis of EEDI and bulk carrier conceptual design
Y Garbatov, P Georgiev - Advances in Maritime Technology and …, 2024 - taylorfrancis.com
The present study analyses uncertainties and their impact on ship design. A Sensitivity
Analysis (SA) is used to understand the uncertainty related to different stages of ship design …
Analysis (SA) is used to understand the uncertainty related to different stages of ship design …
Adjustable robust parameter design with unknown distributions
This article presents a novel combination of robust optimization developed in mathematical
programming, and robust parameter design developed in statistical quality control. Robust …
programming, and robust parameter design developed in statistical quality control. Robust …
Application of Multiparameter Optimization for Robust Product Design
DK Herrmann - 2009 - asmedigitalcollection.asme.org
Taguchi optimization or robust design is an effective way to balance rigorous statistical
testing and compressed time schedules when engineering a product design. In an effort to …
testing and compressed time schedules when engineering a product design. In an effort to …