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Advanced computational intelligence system for inverse aeronautical design optimisation

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10.1109/ISPAW.2011.46
 
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hdl:2117/18313

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Lee, D.S.
Periaux, Jacques
Oñate Ibáñez de Navarra, EugenioMés informacióMés informacióMés informació
Gonzalez, L.
Document typeConference report
Defense date2011
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
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. 
URIhttp://hdl.handle.net/2117/18313
DOI10.1109/ISPAW.2011.46
ISBN9780769544298
Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5951992
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