DocumentCode :
2268270
Title :
Advanced Computational Intelligence System for Inverse Aeronautical Design Optimisation
Author :
Lee, DongSeop ; Periaux, Jacques ; Onate, Eugenio ; Gonzalez, Luis Felipe
Author_Institution :
Int. Center for Numerical Methods in Eng. (CIMNE), Barcelona, Spain
fYear :
2011
fDate :
26-28 May 2011
Firstpage :
299
Lastpage :
304
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 original CIS. The benefits of using the concept of Nash-Equilibrium are clearly demonstrated in terms of solution accuracy and optimisation efficiency.
Keywords :
CAD; aerospace computing; design engineering; finite element analysis; game theory; CAD; CIS; FEA; HLS; Nash-equilibrium; advanced computational intelligence system; computer aided design system; finite element analysis tool; high lift system reconstruction; hybrid intelligence system; inverse aeronautical design optimisation; multiobjective design problems; reverse design problems; single-objective design problems; Aerodynamics; Computational efficiency; Convergence; Games; Genetic algorithms; History; Optimization; Computational Intelligence System; Evolutionary Optimisation; Game-Strategies; Nash-Equilibrium; Reconstruction/Inverse Design; Reverse Engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing with Applications Workshops (ISPAW), 2011 Ninth IEEE International Symposium on
Conference_Location :
Busan
Print_ISBN :
978-1-4577-0524-3
Electronic_ISBN :
978-0-7695-4429-8
Type :
conf
DOI :
10.1109/ISPAW.2011.46
Filename :
5951992
Link To Document :
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