Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms

D. S. Lee; L. F. Gonzalez; K. Srinivas; J. Periaux

Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms

D. S. Lee^*, L. F. Gonzalez, K. Srinivas, J. Periaux

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective Evolutionary Algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.

Original language	English
Title of host publication	45th AIAA Aerospace Sciences Meeting and Exhibit
Place of Publication	Reston, VA
Publisher	American Institute of Aeronautics and Astronautics
Pages	13986-14013
Number of pages	28
Volume	20
ISBN (Print)	1563478900, 9781563478901
Publication status	Published - 2007
Event	45th AIAA Aerospace Sciences Meeting 2007 - Reno, NV, United States Duration: 8 Jan 2007 → 11 Jan 2007

Other

Other	45th AIAA Aerospace Sciences Meeting 2007
Country/Territory	United States
City	Reno, NV
Period	8/01/07 → 11/01/07

Keywords

Evolutionary optimisation
Pareto front
Robust design
Shape optimization
Uncertainties

Cite this

@inproceedings{1663bff18abf4712afbb60087c30b673,

title = "Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms",

abstract = "In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective Evolutionary Algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.",

keywords = "Evolutionary optimisation, Pareto front, Robust design, Shape optimization, Uncertainties",

author = "Lee, {D. S.} and Gonzalez, {L. F.} and K. Srinivas and J. Periaux",

year = "2007",

language = "English",

isbn = "1563478900",

volume = "20",

pages = "13986--14013",

booktitle = "45th AIAA Aerospace Sciences Meeting and Exhibit",

publisher = "American Institute of Aeronautics and Astronautics",

address = "United States",

note = "45th AIAA Aerospace Sciences Meeting 2007 ; Conference date: 08-01-2007 Through 11-01-2007",

}

Lee, DS, Gonzalez, LF, Srinivas, K & Periaux, J 2007, Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms. in 45th AIAA Aerospace Sciences Meeting and Exhibit. vol. 20, American Institute of Aeronautics and Astronautics, Reston, VA, pp. 13986-14013, 45th AIAA Aerospace Sciences Meeting 2007, Reno, NV, United States, 8/01/07.

Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms. / Lee, D. S.; Gonzalez, L. F.; Srinivas, K. et al.
45th AIAA Aerospace Sciences Meeting and Exhibit. Vol. 20 Reston, VA: American Institute of Aeronautics and Astronautics, 2007. p. 13986-14013.

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

TY - GEN

T1 - Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms

AU - Lee, D. S.

AU - Gonzalez, L. F.

AU - Srinivas, K.

AU - Periaux, J.

PY - 2007

Y1 - 2007

N2 - In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective Evolutionary Algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.

AB - In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective Evolutionary Algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.

KW - Evolutionary optimisation

KW - Pareto front

KW - Robust design

KW - Shape optimization

KW - Uncertainties

UR - http://www.scopus.com/inward/record.url?scp=34250875180&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:34250875180

SN - 1563478900

SN - 9781563478901

VL - 20

SP - 13986

EP - 14013

BT - 45th AIAA Aerospace Sciences Meeting and Exhibit

PB - American Institute of Aeronautics and Astronautics

CY - Reston, VA

T2 - 45th AIAA Aerospace Sciences Meeting 2007

Y2 - 8 January 2007 through 11 January 2007

ER -

Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms

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