Multi-objective optimization for aerodynamic designs by using ARMOGAs

Shigeru Obayashi, Daisuke Sasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Global trade-offs for aerodynamic design of Supersonic [Transport (SST) have been investigated by Multi-Objective Evolutionary Algorithms (MOEAs). The objectives are to reduce both drag and sonic boom to make next-generation SST more feasible. Adaptive Range Multi-Objective 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.

Original languageEnglish
Title of host publicationProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004
Pages396-403
Number of pages8
DOIs
Publication statusPublished - 2004 Dec 1
EventProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004 - Tokyo, Japan
Duration: 2004 Jul 202004 Jul 22

Publication series

NameProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004

Other

OtherProceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004
CountryJapan
CityTokyo
Period04/7/2004/7/22

ASJC Scopus subject areas

  • Engineering(all)

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