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And36

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BILD12

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GBOG19

F. Gallard, P.-J. Barjhoux, R. Olivanti, and A. Gazaix. GEMS, a Generic Engine for MDO Scenarios : Key Features In Application. In 2019 AIAA AVIATION Forum. 2019.

GVGuenot+18

François Gallard, Charlie Vanaret, Damien Guénot, Vincent Gachelin, Rémi Lafage, Benoit Pauwels, Pierre-Jean Barjhoux, and Anne Gazaix. Gems: a python library for automation of multidisciplinary design optimization process generation. In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 0657. 2018.

GGA+19

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GGG+17

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KH15

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KSH01

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KS83

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KJO+06

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LM12

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ML13

Joaquim R. R. A. Martins and Andrew B. Lambe. Multidisciplinary design optimization: a survey of architectures. AIAA Journal, 51:2049–2075, 2013. doi:10.2514/1.J051895.

Niu88

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NW06

J. Nocedal and S. J. Wright. Numerical Optimization. Springer, New York, 2nd edition, 2006.

PAG96

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Ray06

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TM06

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VGM17

Charlie Vanaret, Francois Gallard, and Joaquim RRA Martins. On the consequences of the “no free lunch” theorem for optimization on the choice of an appropriate mdo architectures. In AIAA AVIATION Forum. AIAA, June 2017.