Analysis of uncertainty in engineering design optimization problems

Philipp Fleck; Michael Kommenda; Michael Affenzeller; Thorsten Prante

Analysis of uncertainty in engineering design optimization problems

Philipp Fleck, Michael Kommenda, Michael Affenzeller, Thorsten Prante

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

2 Citations (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.

Original language	English
Title of host publication	28th European Modeling and Simulation Symposium, EMSS 2016
Editors	Agostino G. Bruzzone, Emilio Jimenez, Loucas S. Louca, Lin Zhang, Francesco Longo
Publisher	DIME UNIVERSITY OF GENOA
Pages	107-116
Number of pages	10
ISBN (Electronic)	9788897999683
Publication status	Published - 2016
Event	28th European Modeling and Simulation Symposium, EMSS 2016 - Larnaca, Cyprus Duration: 26 Sept 2016 → 28 Sept 2016

Publication series

Name	28th European Modeling and Simulation Symposium, EMSS 2016

Conference

Conference	28th European Modeling and Simulation Symposium, EMSS 2016
Country/Territory	Cyprus
City	Larnaca
Period	26.09.2016 → 28.09.2016

Keywords

Constraint handling
Engineering design optimization
Robustness
Uncertainty

Cite this

Fleck, Philipp ; Kommenda, Michael ; Affenzeller, Michael et al. / Analysis of uncertainty in engineering design optimization problems. 28th European Modeling and Simulation Symposium, EMSS 2016. editor / Agostino G. Bruzzone ; Emilio Jimenez ; Loucas S. Louca ; Lin Zhang ; Francesco Longo. DIME UNIVERSITY OF GENOA, 2016. pp. 107-116 (28th European Modeling and Simulation Symposium, EMSS 2016).

@inproceedings{3173ef7f31ae43ca90ac4550fcff76bf,

title = "Analysis of uncertainty in engineering design optimization problems",

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.",

keywords = "Constraint handling, Engineering design optimization, Robustness, Uncertainty",

author = "Philipp Fleck and Michael Kommenda and Michael Affenzeller and Thorsten Prante",

year = "2016",

language = "English",

series = "28th European Modeling and Simulation Symposium, EMSS 2016",

publisher = "DIME UNIVERSITY OF GENOA",

pages = "107--116",

editor = "Bruzzone, {Agostino G.} and Emilio Jimenez and Louca, {Loucas S.} and Lin Zhang and Francesco Longo",

booktitle = "28th European Modeling and Simulation Symposium, EMSS 2016",

}

Fleck, P, Kommenda, M, Affenzeller, M & Prante, T 2016, Analysis of uncertainty in engineering design optimization problems. in AG Bruzzone, E Jimenez, LS Louca, L Zhang & F Longo (eds), 28th European Modeling and Simulation Symposium, EMSS 2016. 28th European Modeling and Simulation Symposium, EMSS 2016, DIME UNIVERSITY OF GENOA, pp. 107-116, 28th European Modeling and Simulation Symposium, EMSS 2016, Larnaca, Cyprus, 26.09.2016.

Analysis of uncertainty in engineering design optimization problems. / Fleck, Philipp; Kommenda, Michael; Affenzeller, Michael et al.
28th European Modeling and Simulation Symposium, EMSS 2016. ed. / Agostino G. Bruzzone; Emilio Jimenez; Loucas S. Louca; Lin Zhang; Francesco Longo. DIME UNIVERSITY OF GENOA, 2016. p. 107-116 (28th European Modeling and Simulation Symposium, EMSS 2016).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

TY - GEN

T1 - Analysis of uncertainty in engineering design optimization problems

AU - Fleck, Philipp

AU - Kommenda, Michael

AU - Affenzeller, Michael

AU - Prante, Thorsten

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Constraint handling

KW - Engineering design optimization

KW - Robustness

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85002131863&partnerID=8YFLogxK

M3 - Conference contribution

T3 - 28th European Modeling and Simulation Symposium, EMSS 2016

SP - 107

EP - 116

BT - 28th European Modeling and Simulation Symposium, EMSS 2016

A2 - Bruzzone, Agostino G.

A2 - Jimenez, Emilio

A2 - Louca, Loucas S.

A2 - Zhang, Lin

A2 - Longo, Francesco

PB - DIME UNIVERSITY OF GENOA

T2 - 28th European Modeling and Simulation Symposium, EMSS 2016

Y2 - 26 September 2016 through 28 September 2016

ER -

Analysis of uncertainty in engineering design optimization problems

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Keywords

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