Performance optimisation of aerodynamic shapes plays a critical role in aeronautics and the automation of design tasks is an active research field. In this paper an adaptation of Genetic Algorithms to the above problem and its parallel implementation are discussed. We have empirically compared the performance of our parallel version with the sequential one. Experimental findings on a design problem are presented and analysed. The results have shown that the parallel approach has allowed to find innovative solutions in a much lower convergence time.

Parallel genetic algorithm for transonic airfoil optimisation

Della Cioppa A.;
1995

Abstract

Performance optimisation of aerodynamic shapes plays a critical role in aeronautics and the automation of design tasks is an active research field. In this paper an adaptation of Genetic Algorithms to the above problem and its parallel implementation are discussed. We have empirically compared the performance of our parallel version with the sequential one. Experimental findings on a design problem are presented and analysed. The results have shown that the parallel approach has allowed to find innovative solutions in a much lower convergence time.
0-7803-2759-4
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4804677
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? ND
social impact