Self-organizing map of pareto solutions obtained from multiobjective supersonic wing design

Shigeru Obayashi, Daisuke Sasaki

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Self-Organizing Map (SOM) has been applied to analyze 766 Pareto solutions obtained from the four-objective aerodynamic optimization of supersonic wings using Evolutionary Algorithms. Threedimensional Pareto front (tradeoff surface) is mapped onto the two-dimensional SOM where global tradeoffs are successfully visualized. Furthermore, from the clusters obtained in the SOM, the design variables are mapped onto another SOM. This leads to clusters of design variables which indicate the relative importance of design variables and their interactions. SOM is confirmed to be a versatile datamining tool for aeronautical engineering.

Original languageEnglish
Publication statusPublished - 2002 Dec 1
Event40th AIAA Aerospace Sciences Meeting and Exhibit 2002 - Reno, NV, United States
Duration: 2002 Jan 142002 Jan 17

Other

Other40th AIAA Aerospace Sciences Meeting and Exhibit 2002
CountryUnited States
CityReno, NV
Period02/1/1402/1/17

ASJC Scopus subject areas

  • Space and Planetary Science
  • Aerospace Engineering

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    Obayashi, S., & Sasaki, D. (2002). Self-organizing map of pareto solutions obtained from multiobjective supersonic wing design. Paper presented at 40th AIAA Aerospace Sciences Meeting and Exhibit 2002, Reno, NV, United States.