TY - CHAP U1 - Konferenzveröffentlichung A1 - Hagg, Alexander A1 - Asteroth, Alexander A1 - Bäck, Thomas T1 - Prototype Discovery Using Quality-Diversity T2 - Auger, Fonseca et al. (Eds.): Parallel Problem Solving from Nature – PPSN XV (PPSN 2018). Lecture Notes in Computer Science, vol 11101 N2 - 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. These 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. KW - dimensionality reduction KW - prototype theory KW - quality-diversity KW - ideation SN - 978-3-319-99252-5 SB - 978-3-319-99252-5 U6 - https://doi.org/10.1007/978-3-319-99253-2_40 DO - https://doi.org/10.1007/978-3-319-99253-2_40 AX - 1807.09488 N1 - This work received funding from the German Federal Ministry of Education and Research (BMBF) under the Forschung an Fachhochschulen mit Unternehmen programme (grant agreement number 03FH012PX5 project "Aeromat"). SP - 500 EP - 511 PB - Springer CY - Cham ER -