Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
Contribuinte(s) |
Abbass, Hussein |
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Data(s) |
01/06/2012
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Resumo |
The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle (UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, Nash-Game will act as a pre-conditioner. Both CISs; GA and HGA, are based on Pareto optimality and they are coupled to Euler based Computational Fluid Dynamic (CFD) analyser and one type of Computer Aided Design (CAD) system during the optimisation. |
Identificador | |
Publicador |
IEEE |
Relação |
DOI:10.1109/CEC.2012.6256429 Lee, DongSeop , Gonzalez, Luis F., & Periaux, Jacques (2012) Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. In Abbass, Hussein (Ed.) Proceedings of the IEEE World Congress on Computational Intelligence 2012, IEEE, Brisbane, QLD, pp. 1-8. |
Direitos |
Copyright 2012 IEEE This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #090100 AEROSPACE ENGINEERING #Shape design optimisation #Hybrid-game #Nash equilibrium #Evolutionary algorithm #Active flow control #Morphing aerofoil/wing |
Tipo |
Conference Paper |