Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique

Luis F. González; Eric J. Whitney; Jacques Périaux; Mourad Sefrioui; Karkenahalli Srinivas

Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique

Luis F. González, Eric J. Whitney, Jacques Périaux, Mourad Sefrioui, Karkenahalli Srinivas

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

Abstract

This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective and Multidisciplinary Design Optimisation (MDO) problems. Specifically we discuss the integration and implementation of a Hierarchical Asynchronous Evolutionary Algorithm (HAPEA) to solve complex engineering problems which can be multi-modal, involve non-linear approximations that are non-differentiable or involve multiple objectives. The algorithm is based upon traditional evolution strategies with the incorporation of an asynchronous function evaluation for the solution. The algorithm is adaptable for multiple population of EAs with variable fidelity models and use the concepts of Game Theory to handle multi-objective problems. Initially we give some examples of the performance of the algorithm for representative single and multi-objective analytical test functions, which involve multiple local minima, discontinuous Pareto fronts or constraints and then two cases related to aircraft design are analyzed. Result indicate that the method is robust and efficient on its application for real world problems.

Original language	English
Title of host publication	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
Editors	P. Neittaanmäki, T. Rossi, K. Majava, O. Pironneau, I. Lasiecka
Place of Publication	Jyväskylä, Finland
Publisher	University of Jyväskylä, Department of Mathematical Information Technology
Pages	1-17
Number of pages	17
ISBN (Electronic)	9513918688, 9513918696
Publication status	Published - 2004
Event	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 - Jyvaskyla, Finland Duration: 24 Jul 2004 → 28 Jul 2004

Other

Other	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
Country/Territory	Finland
City	Jyvaskyla
Period	24/07/04 → 28/07/04

Keywords

Evolutionary design
Multi-objective optimisation
Parallel computing

Cite this

González, L. F., Whitney, E. J., Périaux, J., Sefrioui, M., & Srinivas, K. (2004). Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique. In P. Neittaanmäki, T. Rossi, K. Majava, O. Pironneau, & I. Lasiecka (Eds.), European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 (pp. 1-17). University of Jyväskylä, Department of Mathematical Information Technology.

González, Luis F. ; Whitney, Eric J. ; Périaux, Jacques et al. / Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique. European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004. editor / P. Neittaanmäki ; T. Rossi ; K. Majava ; O. Pironneau ; I. Lasiecka. Jyväskylä, Finland : University of Jyväskylä, Department of Mathematical Information Technology, 2004. pp. 1-17

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title = "Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique",

abstract = "This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective and Multidisciplinary Design Optimisation (MDO) problems. Specifically we discuss the integration and implementation of a Hierarchical Asynchronous Evolutionary Algorithm (HAPEA) to solve complex engineering problems which can be multi-modal, involve non-linear approximations that are non-differentiable or involve multiple objectives. The algorithm is based upon traditional evolution strategies with the incorporation of an asynchronous function evaluation for the solution. The algorithm is adaptable for multiple population of EAs with variable fidelity models and use the concepts of Game Theory to handle multi-objective problems. Initially we give some examples of the performance of the algorithm for representative single and multi-objective analytical test functions, which involve multiple local minima, discontinuous Pareto fronts or constraints and then two cases related to aircraft design are analyzed. Result indicate that the method is robust and efficient on its application for real world problems.",

keywords = "Evolutionary design, Multi-objective optimisation, Parallel computing",

author = "Gonz{\'a}lez, {Luis F.} and Whitney, {Eric J.} and Jacques P{\'e}riaux and Mourad Sefrioui and Karkenahalli Srinivas",

year = "2004",

language = "English",

pages = "1--17",

editor = "P. Neittaanm{\"a}ki and T. Rossi and K. Majava and O. Pironneau and I. Lasiecka",

booktitle = "European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004",

publisher = "University of Jyv{\"a}skyl{\"a}, Department of Mathematical Information Technology",

note = "European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 ; Conference date: 24-07-2004 Through 28-07-2004",

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González, LF, Whitney, EJ, Périaux, J, Sefrioui, M & Srinivas, K 2004, Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique. in P Neittaanmäki, T Rossi, K Majava, O Pironneau & I Lasiecka (eds), European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004. University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland, pp. 1-17, European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004, Jyvaskyla, Finland, 24/07/04.

Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique. / González, Luis F.; Whitney, Eric J.; Périaux, Jacques et al.
European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004. ed. / P. Neittaanmäki; T. Rossi; K. Majava; O. Pironneau; I. Lasiecka. Jyväskylä, Finland: University of Jyväskylä, Department of Mathematical Information Technology, 2004. p. 1-17.

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

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AU - Whitney, Eric J.

AU - Périaux, Jacques

AU - Sefrioui, Mourad

AU - Srinivas, Karkenahalli

PY - 2004

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N2 - This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective and Multidisciplinary Design Optimisation (MDO) problems. Specifically we discuss the integration and implementation of a Hierarchical Asynchronous Evolutionary Algorithm (HAPEA) to solve complex engineering problems which can be multi-modal, involve non-linear approximations that are non-differentiable or involve multiple objectives. The algorithm is based upon traditional evolution strategies with the incorporation of an asynchronous function evaluation for the solution. The algorithm is adaptable for multiple population of EAs with variable fidelity models and use the concepts of Game Theory to handle multi-objective problems. Initially we give some examples of the performance of the algorithm for representative single and multi-objective analytical test functions, which involve multiple local minima, discontinuous Pareto fronts or constraints and then two cases related to aircraft design are analyzed. Result indicate that the method is robust and efficient on its application for real world problems.

AB - This paper reviews recent progress made in Evolutionary Algorithms (EAs) for single, multi-objective and Multidisciplinary Design Optimisation (MDO) problems. Specifically we discuss the integration and implementation of a Hierarchical Asynchronous Evolutionary Algorithm (HAPEA) to solve complex engineering problems which can be multi-modal, involve non-linear approximations that are non-differentiable or involve multiple objectives. The algorithm is based upon traditional evolution strategies with the incorporation of an asynchronous function evaluation for the solution. The algorithm is adaptable for multiple population of EAs with variable fidelity models and use the concepts of Game Theory to handle multi-objective problems. Initially we give some examples of the performance of the algorithm for representative single and multi-objective analytical test functions, which involve multiple local minima, discontinuous Pareto fronts or constraints and then two cases related to aircraft design are analyzed. Result indicate that the method is robust and efficient on its application for real world problems.

KW - Evolutionary design

KW - Multi-objective optimisation

KW - Parallel computing

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M3 - Conference proceeding contribution

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EP - 17

BT - European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004

A2 - Neittaanmäki, P.

A2 - Rossi, T.

A2 - Majava, K.

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A2 - Lasiecka, I.

PB - University of Jyväskylä, Department of Mathematical Information Technology

CY - Jyväskylä, Finland

T2 - European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004

Y2 - 24 July 2004 through 28 July 2004

ER -

González LF, Whitney EJ, Périaux J, Sefrioui M, Srinivas K. Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique. In Neittaanmäki P, Rossi T, Majava K, Pironneau O, Lasiecka I, editors, European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004. Jyväskylä, Finland: University of Jyväskylä, Department of Mathematical Information Technology. 2004. p. 1-17

Multidisciplinary aircraft conceptual design and optimisation using a robust evolutionary technique

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