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

Shigeru Obayashi, Daisuke Sasaki

研究成果: Paper

4 引用 (Scopus)

抜粋

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.

元の言語English
出版物ステータスPublished - 2002 12 1
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
United States
Reno, NV
期間02/1/1402/1/17

ASJC Scopus subject areas

  • Space and Planetary Science
  • Aerospace Engineering

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  • これを引用

    Obayashi, S., & Sasaki, D. (2002). Self-organizing map of pareto solutions obtained from multiobjective supersonic wing design. 論文発表場所 40th AIAA Aerospace Sciences Meeting and Exhibit 2002, Reno, NV, United States.