G. Belie, Non-technical barriers to multidisciplinary optimization in the aerospace industry, 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, p.5439, 2002.

S. X. Ying, Report from ICAS workshop on complex systems integration in aeronautics, 2016.

X. Zhang, Co-evolution of aeronautical complex system & complex system engineering, ICAS Workshop -Complex Systems Integration in Aeronautics, 2015.

P. D. Ciampa and B. Nagel, Towards the 3rd generation MDO collaboration environment, 2016.

, AGILE EU project portal

P. D. Ciampa and B. Nagel, The AGILE paradigm: the next generation of collaborative mdo, 18th AIAA/ISSMO Multidisciplinary Analysis and 860 Optimization Conference, 2017.

N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, N. Bons et al., An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Con-865 ference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02043097

J. R. Martins and A. B. Lambe, Multidisciplinary design optimization: A survey of architectures, AIAA Journal, vol.59, issue.9, pp.2049-2075, 2013.

T. Lefebvre, N. Bartoli, R. Lafage, and P. D. Ciampa, AGILE DC-1 MDO process using an efficient global optimization approach, 6th EASN International Conference on Innovation in European Aeronautics Research, 2016.

L. Tosserams, S. Etman, P. Papalambors, and J. Rooda, An augmented lagrangian relaxation for analytical target cascading, Structural and Multidisciplinary Optimization, vol.31, pp.113-122, 2006.

T. Lefebvre, N. Bartoli, S. Dubreuil, M. Panzeri, R. Lombardi et al., Methodological enhancements in MDO process investigated in the AGILE european project, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

P. D. Vecchia, L. Stingo, S. Corcione, D. Ciliberti, F. Nicolosi et al., Game theory and evolutionary algorithms applied to MDO in the AGILE european project, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

F. Daoud, R. Maierl, P. D. Ciampa, and X. Gu, Aeroelastic shape and sizing 885 optimization of aircraft products supported by AGILE design paradigm, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

W. Lammen, B. De-wit, J. Vankan, H. Timmermans, T. Van-der-laan et al., Collaborative design of aircraft systems -multi-level optimization 890 of an aircraft rudder, 6th CEAS Aerospace Europe Conference, 2017.

P. S. Prakasha, A. Mirzoyana, and P. D. Ciampa, Collaborative system of systems multidisciplinary design optimization for civil aircraft: AGILE EU project, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

P. D. Ciampa, E. Moerland, D. Seider, E. Baalbergen, R. Lombardi et al., A collaborative architecture supporting AGILE design of complex aeronautics products, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

I. Van-gent, P. D. Ciampa, B. Aigner, J. Jepsen, and G. L. Rocca, J. Schut, p.900

, Knowledge architecture supporting collaborative MDO in the AGILE paradigm, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

D. Kraft, A software package for sequential quadratic programming, DFVLR Obersfaffeuhofen, 1988.

P. E. Gill, W. Murray, and M. A. Saunders, Snopt: An SQP algorithm for large-scale constrained optimization, SIAM review, vol.47, issue.1, pp.99-131, 2005.

G. A. Jastrebski and D. V. Arnold, Improving evolution strategies through active covariance matrix adaptation, 2006 IEEE international conference on evolutionary computation, pp.2814-2821, 2006.

N. Hansen and S. Kern, Evaluating the CMA evolution strategy on multimodal test functions, International Conference on Parallel Problem Solving from Nature, pp.282-291, 2004.

A. Forrester, A. Sobester, and A. Keane, Engineering design via surrogate modelling: a practical guide, 2008.

C. Audet and W. Hare, Derivative-free and blackbox optimization, 2017.

D. R. Jones, M. Schonlau, and W. J. Welch, Efficient global optimization of expensive black-box functions, Journal of Global optimization, vol.13, issue.4, pp.455-492, 1998.

M. Sasena, Flexibility and efficiency enhancements for constrained global design optimization with Kriging approximations, 2002.

N. Beume, B. Naujoks, M. Emmerich, and . Sms-emoa, Multiobjective selection based on dominated hypervolume, European Journal of Operational 925 Research, vol.181, issue.3, pp.1653-1669, 2007.

A. Hebbal, L. Brevault, M. Balesdent, E. Talbi, and N. Melab, Multiobjective optimization using deep gaussian processes: Application to aerospace vehicle design, AIAA Scitech 2019 Forum, p.1973, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02912982

I. Das and J. E. Dennis, Normal-boundary intersection: A new method for gen-930 erating the pareto surface in nonlinear multicriteria optimization problems, SIAM Journal on Optimization, vol.8, issue.3, pp.631-657, 1998.

C. C. Coello and M. S. Lechuga, Mopso: A proposal for multiple objective particle swarm optimization, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No. 02TH8600), vol.2, pp.1051-1056, 2002.

J. Périaux, H. Chen, B. Mantel, M. Sefrioui, and H. Sui, Combining game theory and genetic algorithms with application to ddm-nozzle optimization problems, Finite Elements in Analysis and Design, vol.37, issue.5, pp.417-429, 2001.

N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, R. Priem et al., J. R, vol.940

J. Martins and . Morlier, Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design, Aerospace Science and Technology, vol.90, pp.85-102, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02149236

D. G. Krige, A statistical approach to some mine evaluations and allied 945 problems at the Witwatersrand, Master's thesis, 1951.

C. E. Rasmussen and C. K. Williams, Gaussian processes for machine learning, vol.1, 2006.

M. A. Bouhlel, N. Bartoli, A. Otsmane, and J. Morlier, Improving kriging sur-950 rogates of high-dimensional design models by partial least squares dimension reduction, Structural and Multidisciplinary Optimization, vol.53, issue.5, pp.935-952, 2016.

M. A. Bouhlel, N. Bartoli, A. Otsmane, and J. Morlier, An improved approach for estimating the hyperparameters of the kriging model for high-955 dimensional problems through the partial least squares method, Mathematical Problems in Engineering, 2016.

M. A. Bouhlel, N. Bartoli, R. G. Regis, A. Otsmane, and J. Morlier, Efficient global optimization for high-dimensional constrained problems by using the kriging models combined with the partial least squares method, pp.1-16, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01717251

D. Bettebghor, N. Bartoli, S. Grihon, J. Morlier, and M. Samuelides, Surrogate modeling approximation using a mixture of experts based on em joint estimation, Structural and Multidisciplinary Optimization, vol.43, pp.243-259, 2011.

R. P. Liem, C. A. Mader, and J. R. Martins, Surrogate models and mixtures of experts in aerodynamic performance prediction for mission analysis, Aerospace Science and Technology, vol.43, pp.126-151, 2015.

A. G. Watson and R. J. Barnes, Infill sampling criteria to locate extremes, p.970

, Mathematical Geology, vol.27, issue.5, pp.589-608, 1995.

M. J. Powell, A direct search optimization method that models the objective and constraint functions by linear interpolation, Advances in optimization and numerical analysis, pp.51-67, 1994.

N. Bartoli, I. Kurek, R. Lafage, T. Lefebvre, R. Priem et al., , p.975

J. Morlier, V. Stilz, and R. Regis, Improvement of efficient global optimization with mixture of experts: methodology developments and preliminary results in aircraft wing design, 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2016.

K. Deb, Multi-objective optimization using evolutionary algorithms, 2005.

F. Nicolosi, A. Marco, L. Attanasio, and P. D. Vecchia, Development of a java-based framework for aircraft preliminary design and optimization, Journal of Aerospace Information Systems, vol.13, issue.6, pp.234-242, 2016.

F. Nicolosi, P. D. Vecchia, and D. Ciliberti, An investigation on vertical tailplane contribution to aircraft sideforce, Aerospace Science and Technology, vol.28, pp.401-416, 2013.

F. Nicolosi, P. D. Vecchia, D. Ciliberti, and V. Cusati, Fuselage aerodynamic prediction methods, Aerospace Science and Technology, vol.55, pp.332-343, 2016.

F. Nicolosi, P. D. Vecchia, and C. , Aerodynamic interference issues in aircraft directional control, Journal of Aerospace Engineering, vol.28, issue.1, pp.401-416, 2015.

P. D. Vecchia, E. Daniele, and E. D'amato, An airfoil shape optimization technique coupling parsec parameterization and evolutionary algorithm, p.995

, Aerospace Science and Technology, vol.32, issue.1, pp.103-110, 2014.

R. E. Melchers, Structural reliability analysis and prediction, 1999.

A. M. Hasofer and N. C. Lind, Exact and invariant second moment code format, Journal of Engineering Mechnanics, issue.100, pp.111-121, 1974.

A. Da-ronch, M. Panzeri, M. Bari, R. Ippolito, and M. Franciolini, Adaptive design of experiments for efficient and accurate estimation of aerodynamic loads, Aircraft Engineering and Aerospace Technology

T. Lefebvre, N. Bartoli, S. Dubreuil, R. Lombardi, M. Panzeri et al., Overview of MDO enhancement in the AGILE project: A clustered and surrogate-based MDA use case, 6th CEAS Aerospace Europe Conference, 2017.

B. Aigner, I. Van-gent, G. L. Rocca, E. Stumpf, and L. L. Veldhuis, Graph-1010 based algorithms and data-driven documents for formulation and visualization of large MDO systems, 6th CEAS Air and Space Conference, 2017.

A. Savelyev, K. Anisimov, E. Kazhan, I. Kursakov, and A. Lysenkov, Computational study of engine external aerodynamics as a part of multidisciplinary 1015 optimization procedure, AIP Conference Proceedings, p.1770, 20018.

T. Lefebvre, N. Bartoli, S. Dubreuil, M. Panzeri, R. Lombardi et al., Methodological enhancements in MDO process inves-1020 tigated in the AGILE european project, p.18, 2017.

, AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

B. M. Adams, L. E. Bauman, W. J. Bohnhoff, K. R. Dalbey, J. P. Eddy et al.,

L. P. Jakeman, J. A. Swiler, D. M. Stephens, T. M. Vigil, and . Wildey, Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 6.1 users manual, 2014.

N. A. Zlenko, S. V. Mikhaylov, and A. A. Savelyev, Aerodynamic inlet design for civil aircraft nacelle, in: 29th Congress of the International Council of the Aeronautical Sciences, ICAS, 2014.

N. A. Zlenko, S. V. Mikhaylov, A. A. Savelyev, and A. V. Shenkin, Method of 1035 optimal aerodynamic design of the nacelle assembly for the main propulsion system with a high bypass ratio, TsAGI Science Journal, vol.46, issue.6, pp.533-558, 2015.

S. Bosnyakov, I. Kursakov, A. Lysenkov, S. Mikhailov, V. Vlasenko et al., Computational tools for supporting the testing of civil aircraft 1040 configurations in wind tunnels, Progress in Aerospace Sciences, vol.44, issue.2, pp.67-120, 2008.

, Gasturb 12. design and off-design performance of gas turbines, GasTurb GmbH, 2015.

J. Kurzke, Performance modeling methodology: Efficiency definitions for 1045 cooled single and multistage turbines, 2012.

, Optimus Rev 10.19 -Users Manual, Noesis Solutions, 2017.

, Noesis Solutions, Optimus -Theoretical, 2017.

I. Van-gent, G. L. Rocca, and L. L. Veldhuis, Composing MDAO sym-1050 phonies: graph-based generation and manipulation of large multidisciplinary systems, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

I. Van-gent, P. D. Ciampa, B. Aigner, J. Jepsen, G. L. Rocca et al., Knowledge architecture supporting collaborative MDO in the AG-ILE paradigm, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.