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dc.contributor.authorLee, DongSeop
dc.contributor.authorGonzalez, L F.
dc.contributor.authorPeriaux, Jacques
dc.contributor.authorBugeda Castelltort, Gabriel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.date.accessioned2013-05-21T11:42:48Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationLee, 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.isbn978-146731509-8
dc.identifier.urihttp://hdl.handle.net/2117/19360
dc.description.abstractThe 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.
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshComputational intelligence
dc.subject.otherActive Flow Control
dc.subject.otherEvolutionary Algorithm
dc.subject.otherHybrid-Game
dc.subject.otherMorphing Aerofoil/Wing
dc.subject.otherNash Equilibrium
dc.subject.otherShape design optimisation
dc.titleMulti-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
dc.typeConference lecture
dc.subject.lemacIntel·ligència computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
dc.identifier.doi10.1109/CEC.2012.6256429
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6256429
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11025187
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLee, D.; Gonzalez, L.; Périaux, J.; Bugeda, G.
local.citation.contributorIEEE Congress on Evolutionary Computation
local.citation.publicationName2012 IEEE Congress on Evolutionary Computation, CEC 2012
local.citation.startingPage1
local.citation.endingPage8


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain