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Multidisciplinary Design Optimization: A Survey of Architectures

Joaquim R. R. A. Martins

University of Michigan, Ann Arbor, Michigan 48109

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and

Andrew B. Lambe

University of Toronto, Toronto, Ontario M3H 5T6, Canada

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Published Online:20 Aug 2013https://doi.org/10.2514/1.J051895

Abstract

Multidisciplinary design optimization is a field of research that studies the application of numerical optimization techniques to the design of engineering systems involving multiple disciplines or components. Since the inception of multidisciplinary design optimization, various methods (architectures) have been developed and applied to solve multidisciplinary design-optimization problems. This paper provides a survey of all the architectures that have been presented in the literature so far. All architectures are explained in detail using a unified description that includes optimization problem statements, diagrams, and detailed algorithms. The diagrams show both data and process flow through the multidisciplinary system and computational elements, which facilitate the understanding of the various architectures, and how they relate to each other. A classification of the multidisciplinary design-optimization architectures based on their problem formulations and decomposition strategies is also provided, and the benefits and drawbacks of the architectures are discussed from both theoretical and experimental perspectives. For each architecture, several applications to the solution of engineering-design problems are cited. The result is a comprehensive but straightforward introduction to multidisciplinary design optimization for nonspecialists and a reference detailing all current multidisciplinary design-optimization architectures for specialists.

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Volume 51, Number 9September 2013

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Copyright © 2013 by the authors. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. Copies of this paper may be made for personal or internal use, on condition that the copier pay the $10.00 per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923; include the code 1533-385X/13 and $10.00 in correspondence with the CCC.

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This work was partially funded by a scholarship from the Natural Science and Engineering Research Council of Canada. We would like to thank the following colleagues for providing feedback on a preprint of this paper: Evin Cramer, Pascal Etman, Raphael Haftka, John Hwang, Harrison Kim, Brian Roth, and Jaroslaw Sobieski. Additional helpful suggestions were provided by James Allison, Sylvain Arreckx, Cristina Bloebaum, Robert Canfield, Justin Gray, Jason Hicken, Graeme Kennedy, Alicia Kim, Michael Kokkolaras, Zhoujie (Peter) Lyu, and Kenneth Moore. We are also grateful to the anonymous reviewers for their diligence and insights.

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Received8 March 2012
Accepted13 November 2012
Published online20 August 2013

Multidisciplinary Design Optimization: A Survey of Architectures

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