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Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
Lee, DongSeop; Gonzalez, L F.; Periaux, Jacques; Bugeda Castelltort, Gabriel
Universitat Politècnica de Catalunya. Departament de Resistència dels Materials i Estructures en Enginyeria; Universitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle(UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, Nash-Game will act as a pre-conditioner. Both CISs; GA and HGA, are based on Pareto optimality and they are coupled to Euler based Computational Fluid Dynamic (CFD) analyser and one type of Computer Aided Design(CAD) system during the optimisation.
Àrees temàtiques de la UPC::Informàtica
Computational intelligence
Active Flow Control
Evolutionary Algorithm
Hybrid-Game
Morphing Aerofoil/Wing
Nash Equilibrium
Shape design optimisation
Intel·ligència computacional
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
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