Advanced Computational Intelligence System for inverse aeronautical design optimisation


Autoria(s): Lee, Dong-Seop; Periaux, Jacques; Onate, Eugenio; Gonzalez, Luis F.
Data(s)

14/06/2011

Resumo

Abstract—Computational Intelligence Systems (CIS) is one of advanced softwares. CIS has been important position for solving single-objective / reverse / inverse and multi-objective design problems in engineering. The paper hybridise a CIS for optimisation with the concept of Nash-Equilibrium as an optimisation pre-conditioner to accelerate the optimisation process. The hybridised CIS (Hybrid Intelligence System) coupled to the Finite Element Analysis (FEA) tool and one type of Computer Aided Design(CAD) system; GiD is applied to solve an inverse engineering design problem; reconstruction of High Lift Systems (HLS). Numerical results obtained by the hybridised CIS are compared to the results obtained by the original CIS. The benefits of using the concept of Nash-Equilibrium are clearly demonstrated in terms of solution accuracy and optimisation efficiency.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/46363/

Publicador

IEEE Xplore

Relação

http://eprints.qut.edu.au/46363/1/46363.pdf

DOI:10.1109/ISPAW.2011.46

Lee, Dong-Seop, Periaux, Jacques, Onate, Eugenio, & Gonzalez, Luis F. (2011) Advanced Computational Intelligence System for inverse aeronautical design optimisation. In 2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications Workshops (ISPAW 2011), IEEE Xplore, Busan, South Korea., pp. 299-304.

Direitos

Copyright 2011 IEEE.

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Fonte

Australian Research Centre for Aerospace Automation; Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #010303 Optimisation #090104 Aircraft Performance and Flight Control Systems #090105 Avionics #Computational Intelligence System #Reverse Engineering #Reconstruction/Inverse Design #Evolutionary Optimisation #Game-Strategies #Nash-Equilibrium
Tipo

Conference Paper