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

Shinkyu Jeong, Kazuomi Yamamoto, Shigeru Obayashi

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

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
Pages808-819
Number of pages12
ISBN (Print)156347719X, 9781563477195
DOIs
Publication statusPublished - 2004
EventCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference - Chicago, IL, United States
Duration: 2004 Sep 202004 Sep 23

Publication series

NameCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
Volume2

Other

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

ASJC Scopus subject areas

  • Engineering(all)

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