Metamodelling approach using radial basis functions, stochastic search algorithm and CFD – application to blade cascade design
by Edna R. Da Silva; Nelson Manzanares-Filho; Ramiro G. Ramirez Camacho
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 3, No. 1/2, 2012

Abstract: This paper discusses the viability of using a metamodelling technique in conjunction with a controlled random search algorithm (CRSA) for global optimisation of costly functions. CRSA is a stochastic, population-set based algorithm, capable of performing global optimisation tasks efficiently. The metamodel technique is based on the iterative construction of response surfaces with radial basis functions (inverse multiquadrics) using the points exactly evaluated during the optimisation process. Cyclic search patterns for metamodel constrained optimisations are iteratively used for determining candidate points using CRSA. The methodology is tested on some Dixon-Szeg

Online publication date: Wed, 20-Aug-2014

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