A. Pratap, S. Agarwal, M. K. Deb, and T. Meyarivan, A fast and Elitist Multi objective genetic algorithm NSGA II. KanGAL, 2001.

M. K. Deb, E. Zitzler, and L. Thiele, Comparison of multi objective evolutionary algorithms: Empirical results Massachusetts Institutes of Technology, Evolutionary computation, vol.8, issue.2, pp.173-195

J. A. Desideri, Multiple Gradient Descent algorithm (MGDA) research report 6953, p.20, 2009.

D. Destarac and F. Field, Near FieldDragBalanceApplicationsofDrag Extraction in CFD, CFD Based Aircraft Drag Prediction and Reduction, VKI Lecture Series 2003 02, von Karman Institute for Fluid Dynamics, 200320-07.

F. Dorbath, B. Nagel, and V. Gollnick, Comparison of Beam and Shell Theory for Mass Estimation in Preliminary Wing Design, 2nd Aircraft Structural Design Conference, p.147, 201012-10-28.

A. Dumont, Calculs de gradients pour l'optimisation des perfomances aerodynamiques d'un rotor d'helicoptère en vol stationnaire, p.88, 2010.

L. Cambier and J. P. Veuillot, Status of the elsA Software for Flow Simulation and Multi Disciplinary Applications, 46 th AIAA Aerospace Sciences Meeting and Exhibit, pp.44-46, 200821-01.

T. Elmihoub, A. A. Hopgood, L. Nolle, and A. Battersby, Hybrid genetic algorithms: a review, Engineering Letters, pp.124-137, 200621.

F. Drullion, Definition et etude de systèmes lineaires pour la simulation d'ecoulements et l'optimisation de formes aerodynamiques par methode de gradient, 2008.

M. B. Giles and N. A. Pierce, Analytic adjoint solutions for the quasi-one-dimensional Euler equations, Journal of Fluid Mechanics, vol.426, pp.327-345, 2001.
DOI : 10.1017/S0022112000002366

M. B. Giles and N. A. Pierce, On the properties of solutions of the adjoint Euler equations , 6th ICFD Conference on Numerical Methods for Fluid Dynamics, 199826.

M. B. Giles, M. G. Larson, J. M. Levenstam, and E. Suli, Adaptive error control for finite element approximations of the lift and drag coefficients in viscous flow, 199726.

A. A. Giunta, Aircraft multidisciplinary design optimization using design of experiments theory and response surface modeling methods, p.27, 1997.

N. S. Green, Structural Optimization of Joined Wing Beam Model with Bend Twist Coupling Using Equivalent Static Loads Air Force Institute Of Technology, 2009.

P. Guillen, M. Borrel, and J. L. Montagne, Numerical simulation of unsteady flows using the MUSCL approach Numerical methods for fluid dynamics III, Proceedings of the Conference, pp.296-309, 1988.

W. W. Hager and P. Soonchul, Mathematics of computation, Global convergence of SSM for minimizing a quadratic over a sphere, p.206, 2004.

N. Hansen and S. Kern, Evaluating the CMA Evolution Strategy on Multimodal Test Functions, th International conference on parallele problem solving from nature PPSN VIII, Proceedings, 2004.
DOI : 10.1007/978-3-540-30217-9_29

D. Hue and S. Esquieu, Computational Drag Prediction of the DPW4 Configuration Using the Far-Field Approach, Journal of Aircraft, vol.48, issue.5, pp.10-2514
DOI : 10.2514/1.C031337

F. Hürlimann, Mass estimation of transport Aircraft Wingbox structures with a CAD,CAE based multidisciplinary process, p.147, 2010.

A. Jameson, K. Leoviriyakit, and S. Shankaran, Multi point Aero structural optimization of wings including planform variations, AIAA paper, ASME, pp.45-89, 2007.

K. Sangho, J. J. Alonso, and A. Jameson, Two dimensional high lift aerodynamic optimization using the continuous adjoint method, AIAA paper, 2000.

A. Jameson, Aerodynamic design via control theory, Journal of Scientific Computing, vol.22, issue.3, pp.233-260, 1921.
DOI : 10.1007/BF01061285
URL : http://aero-comlab.stanford.edu/Papers/jameson.ScientificComputing.1988-3.pdf

A. Jameson, J. C. Vasseberg, and S. Shankaran, Aerodynamic structural design studies of low sweep transonic wings, Journal of Aircraft, vol.47, issue.2

A. Jameson, Aerodynamic design via control theory, Journal of Scientific Computing, vol.233260, 1988.
DOI : 10.1007/978-3-642-83733-3_14
URL : http://aero-comlab.stanford.edu/Papers/jameson.ScientificComputing.1988-3.pdf

A. Jameson, N. Pierce, and L. Martinelli, OptimumaerodynamicdesignusingtheNavier Stokes equations,Theoretical and Computational Fluid Dynamics, pp.213-237, 1998.

A. Jameson and O. Kui, 50 years oftransonic aircraft design, Progress in Aerospace Sciences, pp.308-318, 2011.
DOI : 10.1016/j.paerosci.2011.01.001

K. Leoviriyakit, Wing planform optimization via an adjoint method, 2005.
DOI : 10.2514/6.2005-450
URL : http://aero-comlab.stanford.edu/Papers/leoviriyakit.aiaa.05-0450.pdf

G. Kreisselmeier and R. Steinhauser, Systematic control design by optimizaing a vector control index, International Federation of active controls symposium on computer aided design of control systems, p.31, 1979.

I. Kroo, Multidisciplinary optimization methods for aircraft preliminary design, 5th Symposium on Multidisciplinary Analysis and Optimization, p.93, 1994.
DOI : 10.2514/6.1994-4325

I. Kroo, Distributed multidisciplinary design and collaborative optmization, VKI lecture series on Optimization Methods and Tools for Multicriteria,Multidisciplinary Design, 20041.

L. Liberti, Introduction to Global optimization, Lecture of Ecole Polytechnique, p.12

J. L. Lions, Optimal control theory of systems governed by partial differential equations, p.13, 1971.

O. Pironneau, Optimal shape design for elliptic systems, p.23, 1984.

C. Pham, Linearisation du flux visqueux des equations de Navier Stokes et de modeles de turbulence pour l'optimisation aerodynamique en turbomachines, p.23, 2006.
URL : https://hal.archives-ouvertes.fr/pastel-00002058

J. D. Peery and J. J. Azar, Aircraft structures, p.49, 1950.

T. Matsuzawa and M. Hafez, Treatment of shock waves in design optimization via adjoint equation approach, 29th AIAA, Fluid Dynamics Conference, pp.2537-85, 1998.
DOI : 10.2514/6.1998-2537

A. Mcnamara, A. Treuille, Z. Popovic, and J. Stam, Fluid control using the adjoint method, ACM Transactions on Graphics (ACM SIGGRAPH, p.26, 2004.

C. A. Mader, J. R. Martins, J. J. Alonso, and E. Van-der-weide, ADjoint: An Approach for the Rapid Development of Discrete Adjoint Solvers, AIAA Journal, vol.46, issue.4, pp.863-873, 20083-04.
DOI : 10.2514/1.29123

C. A. Mader and J. R. Martins, Computation of Aircraft Stability Derivatives Using an Automatic Differentiation Adjoint Approach, AIAA Journal, vol.49, issue.12, pp.2737-2750, 2011.
DOI : 10.2514/1.J051147

J. Peter, Discrete adjoint method in elsA (part 1) : Method, p.48, 2006.

E. V. Peter and R. P. Dwight, Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches, Computers & Fluids, vol.39, issue.3, pp.3-391
DOI : 10.1016/j.compfluid.2009.09.013

D. J. Peery, Aircraft structures, p.49, 195021.

N. M. Poon and J. R. Martins, An adaptive approach to constraint aggregation using adjoint sensitivity analysis, Structural and Multidisciplinary Optimization, vol.24, issue.2000, pp.61-73, 2007.
DOI : 10.1007/s00158-006-0061-7

F. Renac, Sensitivity Analysis for the RANS Equations Coupled with Linearized Turbulence Model, 18th AIAA Computational Fluid Dynamics Conference, pp.262-92, 2002.
DOI : 10.2514/6.2007-3948

I. Salah-el-din, G. Carrier, and S. Mouton, Discrete Adjoint Method in elsA (part 2):Application to Aerodynamic Design Optimisation., 7 th ONERA DLR Aerospace Symposium, p.88, 2006.

S. Sobieski and J. , Bi Level Integrated System Synthesis, 7 th AIAA,USAF,NASA,ISSMO Symposium on multidisciplinary analysis and optimization, 1924.

S. Sobieski and J. , Structural shape optimization in multidisciplinary system synthesis, NASA Technical Memorandum 100538, p.71, 1988.

S. Sobieski and J. , Sensitivity analysis and multidisciplinary optimization for aircraft design: Recent advances and result, NASA Technical Memorandum 100630, 1988.

S. Sobieski and J. , Sensitivity of complex, internally coupled systems, AIAA paper, vol.88, p.2378

S. Sobieski and J. , Overcoming the Bellman's " Curse of Dimensionality " in large optimization problems, NASA Technica Memorandum 102662, p.38, 199021-04.

S. Taasan, G. Kuruvila, and M. D. Salas, Aerodynamic design and optimization in one shot, 30th Aerospace Sciences Meeting and Exhibit, 1992.
DOI : 10.2514/6.1992-25

D. Thevenin and G. Janiga, Optimization and Computational Fluid Dynamics, 2008.
DOI : 10.1007/978-3-540-72153-6

J. Van-der-vooren and D. Destarac, Drag,Thrust Analysis of Jet Propelled Transonic Transport Aircraft; Definition of Physical Drag Components, Aerospace Science and Technology, vol.8, issue.6, pp.545-556, 2004.

G. N. Vanderplaats and H. Sugimoto, A general-purpose optimization program for engineering design, Computers & Structures, vol.24, issue.1, p.147, 1986.
DOI : 10.1016/0045-7949(86)90331-7

A. Van-der-velden, R. Kelm, D. Kokan, and J. Mertens, Application of MDO to large subsonic transport aircraft, 38th Aerospace Sciences Meeting and Exhibit, pp.844-149, 0200.
DOI : 10.2514/6.2000-844

L. Wiart and G. Carrier, Accounting for Wing Flexibility in the Aerodynamic Calculation of Transport Aircraft Using Equivalent Beam Model, 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 2010.
DOI : 10.2514/6.2010-9135

C. Wervaecke, Hybrid stochastic gradient based method for aerodynamic shape optimization, p.16642, 2012.

G. A. Wrenn, An Indirect Method for Numerical Optmization Using the Kreisseilmeir Steinhauser Function, p.15, 1989.

M. Marcelet, J. Peter, and G. Carrier, Sensitivity analysis of a coupled aero structural system using direct differentiation and adjoint method, ECCOMAS CFD, p.105, 2006.

M. Bompard, F. Renac, J. Peter, J. A. Desideri, and A. Dumont, Two-Dimensional Aerodynamic Optimization Using the Discrete Adjoint Method with or without Parameterization, 20th AIAA Computational Fluid Dynamics Conference, 2011.
DOI : 10.2514/6.2011-3073
URL : https://hal.archives-ouvertes.fr/hal-00764562

J. Brezillon, R. P. Dwight, and J. Wild, Numerical aerodynamic optimization of 3D high lift configurations, p.26

D. Destarac and J. Reneaux, Transport aircraft aerodynamic improvement by numerical optimization, ICAS Congress, pp.9-14, 1990.

J. R. Martins and N. K. Poon, On Structural Optimization using Constraint Aggregation, th World Congress on Structural and Multidisciplinary Optimization

J. E. Herencia1, P. M. Weaver, and M. I. Friswel, Morphing wing design via aeroelastic tailoring, AIAA paper, p.94, 2007.

S. Guo, Aeroelastic optimization of an aerobatic aircraft wing structure, Aerospace Science and Technology, vol.11, issue.5, p.404, 2007.
DOI : 10.1016/j.ast.2007.01.003

K. Maute, M. Nikbay, and C. Farhat, Sensitivity analysis and design optimization of three-dimensional non-linear aeroelastic systems by the adjoint method, International Journal for Numerical Methods in Engineering, vol.18, issue.6, pp.911-933, 2003.
DOI : 10.1002/nme.599

P. W. Jansen, R. E. Perez, and J. A. Martins, Aerostructural Optimization of Nonplanar Lifting Surfaces, Journal of Aircraft, vol.47, issue.5, 2010.
DOI : 10.2514/1.44727

R. Carrese, H. Winarto, J. Watmuff, and K. Wickramasinghe, Benefits of Incorporating Designer Preferences within a multiobjective Airfoil Design Framework, Journal of Aircraft, vol.48, issue.3, 2011.

T. F. Wunderlich, Multidisciplinary Wing Design and optimization for transport aircraft, DLR, 2008.

G. Schuhmacher, I. Murra, L. Wang, A. Laxander, O. Leary et al., Multidisciplinary Design Optimization of a Regional Aircraft Wing Box, AIAA paper, 2002.

B. Nagel, M. Kintscher, and T. Streit, Active and passive structural measures for aeroelastic winglet design, th International congress of the aeronautical sciences, 2008.

R. Kriz, A Sailplane Wing Constructed of Foam Core and Polyester fiberGlass Skin, 1974.

J. Petermeier, G. Radtke, M. Stohr, W. Aaron, T. T. Talahashi et al., Emhanced conceptual wing weight estimation through structural optimization and simulation, p.13, 2010.
DOI : 10.2514/6.2010-9075

S. A. Falco and A. Rocha-de-faria, Optimization of a simple aircraft wing, Worldwide Aerospace Conference and Technology Showcase, 2002.

G. A. Wrenn, An indirect method for numerical optmization using the kreisseilmeir Steinhauser function, 1989.