Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/19360

dc.contributor	Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor	Universitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
dc.contributor.author	Lee, DongSeop
dc.contributor.author	Gonzalez, L F.
dc.contributor.author	Periaux, Jacques
dc.contributor.author	Bugeda Castelltort, Gabriel
dc.date	2012
dc.identifier.citation	Lee, D. [et al.]. Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. A: IEEE Congress on Evolutionary Computation. "2012 IEEE Congress on Evolutionary Computation, CEC 2012". 2012, p. 1-8.
dc.identifier.citation	978-146731509-8
dc.identifier.citation	10.1109/CEC.2012.6256429
dc.identifier.uri	http://hdl.handle.net/2117/19360
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6256429
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica
dc.subject	Computational intelligence
dc.subject	Active Flow Control
dc.subject	Evolutionary Algorithm
dc.subject	Hybrid-Game
dc.subject	Morphing Aerofoil/Wing
dc.subject	Nash Equilibrium
dc.subject	Shape design optimisation
dc.subject	Intel·ligència computacional
dc.title	Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	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.

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