Robust active shock control bump design optimisation using parallel hybrid-MOGA
Document typeConference report
Rights accessOpen Access
The paper investigates a robust optimisation for detail design of active shock control bump on a transonic Natural Laminar Flow (NLF) aerofoil using a Multi-Objective Evolutionary Algorithm (MOEA) coupled to Computational Fluid Dynamics (CFD) software. For MOEA, Robust Multi-objective Optimisation Platform (RMOP) developed in CIMNE is used. For the active shock control bump design, two different optimisation methods are considered; the first method is a Pareto- Game based Genetic Algorithm in RMOP (denoted as RMOGA). The second method uses a Hybridised RMOGA with Game-Strategies and a parallel computation for high performance computation. The paper not only shows how a shock control bump approach coupled to CFD improves aerodynamic performance of original transonic aerofoil but also it shows how high performance computation with applying Hybrid- Game and parallel computation increase the efficiency of optimisation in terms of computational cost and result accuracy.
CitationLee, D.S., Bugeda, G., Périaux, J., Oñate, E. Robust active shock control bump design optimisation using parallel hybrid-MOGA. A: International Conference on Parallel Computational Fluid Dynamics. "Parallel CFD 2011". 2011, p. 1-5.
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