Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective Evolutionary Algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.

Original languageEnglish
Title of host publication45th AIAA Aerospace Sciences Meeting and Exhibit
Place of PublicationReston, VA
PublisherAmerican Institute of Aeronautics and Astronautics
Number of pages28
ISBN (Print)1563478900, 9781563478901
Publication statusPublished - 2007
Event45th AIAA Aerospace Sciences Meeting 2007 - Reno, NV, United States
Duration: 8 Jan 200711 Jan 2007


Other45th AIAA Aerospace Sciences Meeting 2007
CountryUnited States
CityReno, NV


  • Evolutionary optimisation
  • Pareto front
  • Robust design
  • Shape optimization
  • Uncertainties

Fingerprint Dive into the research topics of 'Multi-objective robust design optimisation using hierarchical asynchronous parallel evolutionary algorithms'. Together they form a unique fingerprint.

Cite this