@inproceedings{oai:jaxa.repo.nii.ac.jp:00004913,
 author = {瀬戸, 直人 and 牧野, 好和 and 鄭, 信圭 and 金崎, 雅博 and Seto, Naoto and Makino, Yoshikazu and Jeong, Shinkyu and Kanazaki, Masahiro},
 book = {宇宙航空研究開発機構特別資料: 第41回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2009論文集, JAXA Special Publication: Proceedings fo 41st Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2009},
 month = {Feb},
 note = {平成21年6月18-19日. 宇宙航空研究開発機構調布航空宇宙センター, 18 June-19 June, 2009, Japan Aerospace Exploration Agency, Multidisciplinary design optimization for supersonic wing geometry is carried out. The objective functions are to maximize lift to drag ratio and to minimize sonic boom intensity at supersonic cruise respectively, and to minimize wing weight. Multi-Objective genetic algorithm (MOGA) is applied as an optimizer, which Kriging model is used to reduce computational cost. For Kriging model construction, 75 sample points are evaluated. To obtain the information of the design space, functional Analysis of Variance (ANOVA) which is one of the knowledge discovery techniques is applied. According to their results, there is trade-off relationship among 3 objective functions. ANOVA results say that the cambers of the wing section at root and kink are effective in lift to drag ratio, the inner wing sweep back angle is in sonic boom intensity, camber of wing section at kink and aspect ratio are in wing weight. Considering the calculation cost of objective functions, time-wise effective MDO tool has been constructed., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA0064672015, レポート番号: JAXA-SP-09-011},
 publisher = {宇宙航空研究開発機構, Japan Aerospace Exploration Agency (JAXA)},
 title = {超音速機主翼の大域的な多分野融合最適設計},
 volume = {JAXA-SP-09-011},
 year = {2010}
}