Part 3. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 3.) Practical application to the design and optimisation of UAV systems
Contribuinte(s) |
Periaux, Jacques Verstaete, Tom |
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Data(s) |
15/05/2012
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Resumo |
These lecture notes highlight some of the recent applications of multi-objective and multidisciplinary design optimisation in aeronautical design using the framework and methodology described in References 8, 23, 24 and in Part 1 and 2 of the notes. A summary of the methodology is described and the treatment of uncertainties in flight conditions parameters by the HAPEAs software and game strategies is introduced. Several test cases dealing with detailed design and computed with the software are presented and results discussed in section 4 of these notes. |
Formato |
application/pdf |
Identificador | |
Publicador |
Von Karman Institute for Fluid Dynamics |
Relação |
http://eprints.qut.edu.au/74103/3/74103.pdf http://store.vki.ac.be/introduction-to-optimization-and-multidisciplinary-design-in-aeronautics-and-turbomachinery.html Lee, Dong-Seop, Gonzalez, Luis Felipe, & Periaux, Jacques (2012) Part 3. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 3.) Practical application to the design and optimisation of UAV systems. In Periaux, Jacques & Verstaete, Tom (Eds.) Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery [Lecture Series 2012-03]. Von Karman Institute for Fluid Dynamics, Rhodes-St-Genese, Belgium. |
Direitos |
Copyright 2012 Von Karman Institute for Fluid Dynamics |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #090100 AEROSPACE ENGINEERING #UAVs, #Parallel Evolutionary Algorithms #Optimization #Multidisciplinary Design #Game Theory |
Tipo |
Book Chapter |