DocumentCode :
3317089
Title :
Multi-objective optimization for aerodynamic designs by using ARMOGAs
Author :
Obayashi, Shigeru ; Sasaki, Daisuke
Author_Institution :
Inst. of Fluid Sci., Tohoku Univ., Japan
fYear :
2004
fDate :
20-22 July 2004
Firstpage :
396
Lastpage :
403
Abstract :
Global trade-offs for aerodynamic design of supersonic transport (SST) have been investigated by multiobjective evolutionary algorithms (MOEAs). The objectives are to reduce both drag and sonic boom to make next-generation SST more feasible. Adaptive range multiobjective genetic algorithms (ARMOGAs) are utilized for the efficient search. The trade-offs are analysed by self-organizing map (SOM), which provides a topology preserving mapping from the high dimensional space to two dimensions. ARMOGAs and SOM can be good design tools to conduct aerodynamic design optimizations and analyse the results.
Keywords :
aerodynamics; aerospace computing; aircraft; computational fluid dynamics; genetic algorithms; self-organising feature maps; adaptive range multiobjective genetic algorithms; aerodynamic designs; drag reduction; multiobjective evolutionary algorithms; multiobjective optimization; self-organizing map; sonic boom reduction; supersonic transport; Aerodynamics; Algorithm design and analysis; Computational fluid dynamics; Design optimization; Drag; Encoding; Evolutionary computation; Genetic algorithms; Sampling methods; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Grid in Asia Pacific Region, 2004. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-2138-X
Type :
conf
DOI :
10.1109/HPCASIA.2004.1324064
Filename :
1324064
Link To Document :
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