An iterative computer-aided ideation procedure is introduced, building on
recent quality-diversity algorithms, which search for diverse as well as
high-performing solutions. Dimensionality reduction is used to define a
similarity space, in which solutions are clustered into classes...
are represented by prototypes, which are presented to the user for selection. In the next iteration, quality-diversity focuses on searching within the
selected class. A quantitative analysis is performed on a 2D airfoil, and a
more complex 3D side view mirror domain shows how computer-aided ideation can
help to enhance engineers' intuition while allowing their design decisions to
influence the design process.