23rd Congress of International Council of the Aeronautical Sciences, 8-13 September, 2002, Toronto, Canada
Paper ICAS 2002-8.1.2

HYBRID TWO-LEVEL GENETIC OPTIMIZATION ALGORITHM WITH DIFFERENT FIDELITY MODELS FOR AERODYNAMIC DESIGN PROBLEMS

I. L. Chernyshev
Central Aerohydrodynamic Institute (TsAGI), Zhukovsky, Russia

Keywords: numerical optimization, genetic algorithm, different fidelity models

A new hybrid genetic algorithm for solving optimization problems in multidimensional space has been developed. The idea behind the method is to simultaneously use the numerical models of different fidelity. The bulk of computations is based on low-fidelity and low time-consuming model, while the small amount of computations are based on a high-fidelity model for refining the behavior of the objective function.

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