Kriging-based probabilistic method for constrained multi-objective optimization problem

Shinkyu Jeong, Kazuomi Yamamoto, Shigeru Obayashi

研究成果: Conference contribution

18 被引用数 (Scopus)

抄録

In this paper, Kriging model is applied to a constrained multi-objective optimization problem. In order to balance the local and global search in the Kriging model, the criterion 'expected improvement (EI)' is adopted. Probability of satisfying the constraints is calculated in the Kriging model to impose the constraint effect into EL Search region of the design space is modified during the optimization by investigating the distribution of the design variables. Functional analysis of variance (ANOVA) is performed to identify which design variables are important for the objective and constraint functions. The present method is applied to a transonic airfoil design for the validation.

本文言語English
ホスト出版物のタイトルCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
出版社American Institute of Aeronautics and Astronautics Inc.
ページ808-819
ページ数12
ISBN(印刷版)156347719X, 9781563477195
DOI
出版ステータスPublished - 2004
イベントCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference - Chicago, IL, United States
継続期間: 2004 9月 202004 9月 23

出版物シリーズ

名前Collection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
2

Other

OtherCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
国/地域United States
CityChicago, IL
Period04/9/2004/9/23

ASJC Scopus subject areas

  • 工学(全般)

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