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


Autoria(s): Lee, Dong-Seop; Gonzalez, Luis Felipe; Periaux, Jacques
Contribuinte(s)

Periaux, Jacques

Verstaete, Tom

Data(s)

15/05/2012

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

http://eprints.qut.edu.au/74103/

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