Multi-objective design exploration and its application to regional-jet wing design

Shigeru Obayashi, Shinkyu Jeong, Kazuhisa Chiba, Hiroyuki Morino

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


A new approach, Multi-Objective Design Exploration (MODE), is presented to address multidisciplinary design optimization (MDO) problems using computational fluid dynamics-computational structural dynamics (CFD-CSD) coupling. 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 the Kriging Model, adaptive range multi objective genetic algorithms, analysis of variance and a self-organizing map. The main emphasis of this approach is visual data mining. An MDO system using high-fidelity simulation codes, a Navier-Stokes solver and NASTRAN has been developed and applied to a regional-jet wing design. Because the optimization system becomes very expensive computationally, only brief exploration of the design space has been performed. However, visual data mining results demonstrate that design knowledge can produce a good design even after brief design exploration.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalTransactions of the Japan Society for Aeronautical and Space Sciences
Issue number167
Publication statusPublished - 2007


  • Aircraft
  • Design
  • Evolutionary computation
  • Multidisciplinary design Optimization
  • Self-organizing map
  • Wings and airfoil sections

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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