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Advanced Computational Intelligence System for inverse aeronautical design optimisation

By Dong-Seop Lee, Jacques Periaux, Eugenio Onate and Luis F. Gonzalez

Abstract

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

Topics: 010303 Optimisation, 090104 Aircraft Performance and Flight Control Systems, 090105 Avionics, Computational Intelligence System, Reverse Engineering, Reconstruction/Inverse Design, Evolutionary Optimisation, Game-Strategies, Nash-Equilibrium
Publisher: IEEE Xplore
Year: 2011
DOI identifier: 10.1109/ISPAW.2011.46
OAI identifier: oai:eprints.qut.edu.au:46363

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