Multi-objective design exploration for aerodynamic configurations

Shigeru Obayashi, Shinkyu Jeong, Kazuhisa Chiba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

62 Citations (Scopus)


A new approach, Multi-Objective Design Exploration (MODE), is presented to address Multidisciplinary Design Optimization problems. MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for Decision Maker. The present form of MODE consists of Kriging Model, Adaptive Range Multi Objective Genetic Algorithms, Analysis of Variance and Self-Organizing Map. The main emphasis of this approach is visual data mining. Two data mining examples using high fidelity simulation codes are presented: four-objective aerodynamic optimization for the fly-back booster and Multidisciplinary Design Optimization problem for a regional-jet wing. The first example confirms that two different data mining techniques produce consistent results. The second example illustrates the importance of the present approach because design knowledge can produce a better design even from the brief exploration of the design space.

Original languageEnglish
Title of host publication35th AIAA Fluid Dynamics Conference and Exhibit
Publication statusPublished - 2005
Event35th AIAA Fluid Dynamics Conference and Exhibit - Toronto, ON, Canada
Duration: 2005 Jun 62005 Jun 9

Publication series

Name35th AIAA Fluid Dynamics Conference and Exhibit


Conference35th AIAA Fluid Dynamics Conference and Exhibit
CityToronto, ON


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