dc.contributor.author | Lee, D.S. |
dc.contributor.author | Periaux, Jacques |
dc.contributor.author | Oñate Ibáñez de Navarra, Eugenio |
dc.contributor.author | Gonzalez, L. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria |
dc.date.accessioned | 2013-03-14T16:58:27Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | Lee, 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.isbn | 9780769544298 |
dc.identifier.uri | http://hdl.handle.net/2117/18313 |
dc.description.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 riginal CIS. The benefits of using the concept of Nash-Equilibrium are clearly
demonstrated in terms of solution accuracy and optimisation efficiency. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat |
dc.subject | Àrees temàtiques de la UPC::Aeronàutica i espai::Aerodinàmica |
dc.subject.lcsh | Genetic algorithms |
dc.subject.lcsh | Aerospace engineering |
dc.subject.other | Computational Intelligence System |
dc.subject.other | Reverse Engineering |
dc.subject.other | Reconstruction/Inverse Design |
dc.subject.other | Evolutionary Optimisation |
dc.subject.other | Game-Strategies |
dc.subject.other | Nash-Equilibrium |
dc.title | Advanced computational intelligence system for inverse aeronautical design optimisation |
dc.type | Conference report |
dc.subject.lemac | Algorismes genètics |
dc.subject.lemac | Enginyeria aeronàutica |
dc.contributor.group | Universitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus |
dc.identifier.doi | 10.1109/ISPAW.2011.46 |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5951992 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 11631057 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Lee, D.; Périaux, J.; Oñate, E.; Gonzalez, L.F. |
local.citation.contributor | IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops |
local.citation.pubplace | Busan |
local.citation.publicationName | 9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops |
local.citation.startingPage | 299 |
local.citation.endingPage | 304 |