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Advanced computational intelligence system for inverse aeronautical design optimisation

dc.contributor.authorLee, D.S.
dc.contributor.authorPeriaux, Jacques
dc.contributor.authorOñate Ibáñez de Navarra, Eugenio
dc.contributor.authorGonzalez, L.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.date.accessioned2013-03-14T16:58:27Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationLee, D. [et al.]. Advanced computational intelligence system for inverse aeronautical design optimisation. A: IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops. "9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops". Busan: Institute of Electrical and Electronics Engineers (IEEE), 2011, p. 299-304.
dc.identifier.isbn9780769544298
dc.identifier.urihttp://hdl.handle.net/2117/18313
dc.description.abstractComputational 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 riginal CIS. The benefits of using the concept of Nash-Equilibrium are clearly demonstrated in terms of solution accuracy and optimisation efficiency.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai::Aerodinàmica
dc.subject.lcshGenetic algorithms
dc.subject.lcshAerospace engineering
dc.subject.otherComputational Intelligence System
dc.subject.otherReverse Engineering
dc.subject.otherReconstruction/Inverse Design
dc.subject.otherEvolutionary Optimisation
dc.subject.otherGame-Strategies
dc.subject.otherNash-Equilibrium
dc.titleAdvanced computational intelligence system for inverse aeronautical design optimisation
dc.typeConference report
dc.subject.lemacAlgorismes genètics
dc.subject.lemacEnginyeria aeronàutica
dc.contributor.groupUniversitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
dc.identifier.doi10.1109/ISPAW.2011.46
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5951992
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11631057
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLee, D.; Périaux, J.; Oñate, E.; Gonzalez, L.F.
local.citation.contributorIEEE International Symposium on Parallel and Distributed Processing with Applications Workshops
local.citation.pubplaceBusan
local.citation.publicationName9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops
local.citation.startingPage299
local.citation.endingPage304


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