Sánchez Moreno, FranciscoMacManus, David G.Tejero, FernandoMatesanz García, JesúsSheaf, Christopher2022-07-132022-07-132022-07-01Sanchez-Moreno F, MacManus D, Tejero F, et al., (2022) Robustness of optimisation algorithms for transonic aerodynamic design. In: 9th European Conference for Aeronautics and Space Sciences (EUCASS-3AF 2022), 27 June - 1 July 2022, Lille, Francehttps://dspace.lib.cranfield.ac.uk/handle/1826/18161In design optimisation problems, it is essential to ensure the convergence to the optimal design space with the lowest variability possible. In this respect, the optimisation algorithm plays a key role as it drives the exploration of the design space. This paper presents a statistical assessment of two genetic algorithms (NSGA-II and IBEA) and a particle swarm optimiser (OMOPSO) for the transonic aerodynamic design of compact nacelles for future aero-engines. OMOPSO is the most suitable optimisation algorithm due to the lowest variability to find an optimised design with a reasonable convergence rate of the optimisation.enAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/Conference paper