Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
Document typeConference lecture
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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.
CitationLee, D. [et al.]. Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. A: IEEE Congress on Evolutionary Computation. "2012 IEEE Congress on Evolutionary Computation, CEC 2012". 2012, p. 1-8.