DocumentCode :
296238
Title :
A parallel genetic algorithm for transonic airfoil optimisation
Author :
DeFalcot, I. ; DelBalio, R. ; Cioppa, A.D. ; Tarantino, E.
Volume :
1
fYear :
1995
fDate :
Nov. 29 1995-Dec. 1 1995
Firstpage :
429
Abstract :
Performance optimisation of aerodynamic shapes plays a critical role in aeronautics and the automation of design tasks is an active research field. 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 us to find innovative solutions in a much lower convergence time
Keywords :
Aerodynamics; Algorithm design and analysis; Automotive components; Control system synthesis; Control theory; Design automation; Design optimization; Expert systems; Genetic algorithms; Shape control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA, Australia
Print_ISBN :
0-7803-2759-4
Type :
conf
DOI :
10.1109/ICEC.1995.489186
Filename :
489186
Link To Document :
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