Hybrid game strategies for MO problems in aerospace design
Data(s) |
05/01/2009
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Resumo |
Game strategies have been developed in past decades and used in the field of economics, engineering, computer science and biology due to their efficiency in solving design optimisation problems. In addition, research on Multi-Objective (MO) and Multidisciplinary Design Optimisation (MDO) has focused on developing robust and efficient optimisation method to produce quality solutions with less computational time. In this paper, a new optimisation method Hybrid Game Strategy for MO problems is introduced and compared to CMA-ES based optimisation approach. Numerical results obtained from both optimisation methods are compared in terms of computational expense and model quality. The benefits of using Game-strategies are demonstrated. |
Formato |
application/pdf |
Identificador | |
Publicador |
AIAA |
Relação |
http://eprints.qut.edu.au/90870/1/Hybrid-games-AIAA-2009-969.pdf DOI:10.2514/6.2009-969 Lee, Dong-Seop, Gonzalez, Luis F., Periaux, Jacques, & Srinivas, Karkenahalli (2009) Hybrid game strategies for MO problems in aerospace design. In Proceedings of 47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition, AIAA, Orlando, FL. |
Direitos |
Copyright 2009 by ds.chris.lee@gmail.com. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Faculty of Built Environment and Engineering; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #090100 AEROSPACE ENGINEERING #090101 Aerodynamics (excl. Hypersonic Aerodynamics) #090104 Aircraft Performance and Flight Control Systems #Robust Design #Pareto front #Aerodynamic/RCS Shape #Optimisation #Uncertainties #UAS #MDO #Evolutionary Optimisation |
Tipo |
Conference Paper |