Self-organizing map of pareto solutions obtained from multiobjective supersonic wing design

Shigeru Obayashi, Daisuke Sasaki

研究成果: Paper査読

4 被引用数 (Scopus)

抄録

Self-Organizing Map (SOM) has been applied to analyze 766 Pareto solutions obtained from the four-objective aerodynamic optimization of supersonic wings using Evolutionary Algorithms. Threedimensional Pareto front (tradeoff surface) is mapped onto the two-dimensional SOM where global tradeoffs are successfully visualized. Furthermore, from the clusters obtained in the SOM, the design variables are mapped onto another SOM. This leads to clusters of design variables which indicate the relative importance of design variables and their interactions. SOM is confirmed to be a versatile datamining tool for aeronautical engineering.

本文言語English
出版ステータスPublished - 2002
イベント40th AIAA Aerospace Sciences Meeting and Exhibit 2002 - Reno, NV, United States
継続期間: 2002 1 142002 1 17

Other

Other40th AIAA Aerospace Sciences Meeting and Exhibit 2002
国/地域United States
CityReno, NV
Period02/1/1402/1/17

ASJC Scopus subject areas

  • 宇宙惑星科学
  • 航空宇宙工学

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