Robust design optimisation using multi-objective evolutionary algorithms

Author:

Lee D.S.,Gonzalez L.F.,Periaux J.,Srinivas K.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference25 articles.

1. Alexandrov NM, Lewis EM. Comparative properties of collaborative optimisation and other approaches to MDO. In: Proceedings of the first ASMO UK/ISSMO conference on engineering design optimization, La Jolla (CA), July 8–9, 1999.

2. Padovan L, Pediroda V, et al. Multi objective robust design optimization of airfoils in transonic field (M.O.R.D.O). In: Bugeda G, Desideri JA, editors. International congress on evolutionary methods for design, optimization and control with application to industrial problems, Barcelona, 2003.

3. Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms;Obayashi,1998

4. Oyama A, Liou M-S, Obayashi S. Transonic axial-flow blade shape optimization using evolutionary algorithm and three-dimensional Navier–Stokes solver. 9th AIAA/ISSMO symposium on multidisciplinary analysis and optimization, Atlanta (GA), September 2002.

5. Wagner S, Sommerer A, Lutz T. Numerical optimisation of adaptive transonic airfoils with variable camber. In: Proceedings of the 22nd ICAS congress, number ICA2.111, Harrogate, United Kingdom, August 27–September 1. Institute for Aerodynamics and Gas Dynamics, University of Stuttgart, Germany, 2000. p. 1–10.

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