Analysis of uncertainty in engineering design optimization problems

Philipp Fleck, Michael Kommenda, Michael Affenzeller, Thorsten Prante

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

In this paper, we analyze popular benchmark instances in the field of engineering design optimization regarding the robustness of published solutions. First, we implement selected benchmark problems with HeuristicLab and show the advantages of having a framework that enables rapid prototyping for optimization and analysis. Then, we show that many solutions quickly become infeasible when considering uncertainty like production inaccuracies. Based on these findings, we motivate why robust solutions for engineering design are important and present methods for measuring, identifying and visualizing robustness. Finally, we present how solutions can be compared and selected using a novel robustness measure.

OriginalspracheEnglisch
Titel28th European Modeling and Simulation Symposium, EMSS 2016
Redakteure/-innenAgostino G. Bruzzone, Emilio Jimenez, Loucas S. Louca, Lin Zhang, Francesco Longo
Herausgeber (Verlag)DIME UNIVERSITY OF GENOA
Seiten107-116
Seitenumfang10
ISBN (elektronisch)9788897999683
PublikationsstatusVeröffentlicht - 2016
Veranstaltung28th European Modeling and Simulation Symposium, EMSS 2016 - Larnaca, Zypern
Dauer: 26 Sep. 201628 Sep. 2016

Publikationsreihe

Name28th European Modeling and Simulation Symposium, EMSS 2016

Konferenz

Konferenz28th European Modeling and Simulation Symposium, EMSS 2016
Land/GebietZypern
OrtLarnaca
Zeitraum26.09.201628.09.2016

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