Abstract
One of the facets of Fluid Informatics has been constructed from the application of Soft Computing to design problems in fluid engineering. Self-Organizing Maps (SOMs) have been used to visualize the objective function space of the optimization problem in fluid engineering design obtained by Evolutionary Computation. The resulting SOM generates clusters of designs, which indicate tradeoffs and sweet spot in the design space. These processes can be considered as visual data mining of the engineering design to obtain design knowledge. Data mining example will be given for supersonic wing design.
