Publication: A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About

A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization

- Article in a journal -
 

Author(s)
Lisa Kusch , Tim Albring , Andrea Walther , Nicolas R. Gauger

Published in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation Optimization Methods & Software

Editor(s)
Bruce Christianson, Shaun A. Forth, Andreas Griewank

Year
2018

Publisher
Taylor & Francis

Abstract
This paper concerns the implementation and application of the extended one-shot approach including additional equality constraints to achieve a direct transition from simulation to optimization. The approach can be applied for different areas of scientific computing where partial differential equations are treated by using a fixed-point solver. The solver is extended in a semi-automated fashion. In a first step it is augmented with a consistent adjoint solver using algorithmic differentiation. Then the obtained reduced derivative information is directly employed to simultaneously achieve optimality and primal as well as adjoint feasibility. The methodology is implemented in the multi-physics package SU2 and applied for multi-objective aerodynamic shape optimization.

Cross-References
Christianson2018Sio

BibTeX
@ARTICLE{
         Kusch2018Aos,
       crossref = "Christianson2018Sio",
       author = "Lisa Kusch and Tim Albring and Andrea Walther and Nicolas R. Gauger",
       title = "A one-shot optimization framework with additional equality constraints applied to
         multi-objective aerodynamic shape optimization",
       journal = "Optimization Methods \& Software",
       volume = "33",
       number = "4--6",
       pages = "694--707",
       year = "2018",
       publisher = "Taylor \& Francis",
       doi = "10.1080/10556788.2018.1437158",
       url = "https://doi.org/10.1080/10556788.2018.1437158",
       eprint = "https://doi.org/10.1080/10556788.2018.1437158",
       abstract = "This paper concerns the implementation and application of the extended one-shot
         approach including additional equality constraints to achieve a direct transition from simulation to
         optimization. The approach can be applied for different areas of scientific computing where partial
         differential equations are treated by using a fixed-point solver. The solver is extended in a
         semi-automated fashion. In a first step it is augmented with a consistent adjoint solver using
         algorithmic differentiation. Then the obtained reduced derivative information is directly employed
         to simultaneously achieve optimality and primal as well as adjoint feasibility. The methodology is
         implemented in the multi-physics package SU2 and applied for multi-objective aerodynamic shape
         optimization.",
       booktitle = "Special issue of Optimization Methods \& Software: Advances in
         Algorithmic Differentiation",
       editor = "Bruce Christianson and Shaun A. Forth and Andreas Griewank"
}


back
  

Contact:
autodiff.org
Username:
Password:
(lost password)