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

@inproceedings{Obayashi2002SelforganizingMO,
  title={Self-organizing map of Pareto solutions obtained from multiobjective supersonic wing design},
  author={Shigeru Obayashi and Daisuke Sasaki},
  year={2002}
}
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… Expand
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