Some of the advantages and drawbacks of genetic algorithms applications to aerodynamic design are demonstrated. A numerical procedure for the aerodynamic design of transonic airfoil by means of genetic algorithms, with single-point, multipoint, and multiobjective optimization capabilities, is presented. In the first part, an investigation on the relative efficiency of different genetic operators combinations is carried out on an aerodynamic inverse design problem. It is shown how an appropriate tuning of the algorithm can provide improved performances, better adaption to design space size and topology, and variables cross correlation. In the second part, the multiobjective approach to design is introduced. The problem of the optimization of the drag rise characteristics of a transonic airfoil is addressed and dealt with using a single point, a multipoint, and a multiobjective approach. A comparison between the results obtained using the three different strategies is finally established, showing the advantages of multiobjective optimization.
Inverse and direct airfoil design using a multiobjective genetic algorithm
Tragflügelentwurf mit einem genetischen Algorithmus unter Vorgabe eines Systems mehrerer Zielfunktionen
AIAA Journal ; 35 , 9 ; 1499-1505
1997
7 Seiten, 14 Bilder, 1 Tabelle, 27 Quellen
Aufsatz (Zeitschrift)
Englisch
numerisches Verfahren , Tragflügel , CAD/CAM , Aerodynamik , Überschallgeschwindigkeit , Algorithmus , Zielsystem , Leistungssteigerung , Systemoptimierung , Dimension (Raum) , Topologie , Strömungswiderstand , Konstruktionsmethodik , Druckverteilung , Entwurfsparameter , Zufallsgröße , Wechselbeziehung , Evolutionsstrategie
Inverse and Direct Airfoil Design Using a Multiobjective Genetic Algorithm
Online Contents | 1997
|Multipoint Transonic Airfoil Design by Means of a Multiobjective Genetic Algorithm
British Library Conference Proceedings | 1997
|AIRFOIL DESIGN USING A GENETIC ALGORITHM AND AN INVERSE METHOD
British Library Conference Proceedings | 2003
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