@inproceedings{Gaier2015, author = {Adam Gaier}, title = {Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines}, series = {Esparcia-Alc{\´a}zar, Silva et al. (Eds.): GECCO Companion '15. Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. 15, July 11 - 15, 2015, Madrid, Spain}, publisher = {ACM}, isbn = {978-1-4503-3488-4}, doi = {10.1145/2739482.2768478}, pages = {1197 -- 1200}, year = {2015}, abstract = {A novel approach to produce 2D designs by adapting the HyperNEAT algorithm to evolve non-uniform rational basis splines (NURBS) is presented. This representation is proposed as an alternative to previous pixel-based approaches primarily motivated by aesthetic interests, and not designed for optimization tasks. This spline representation outperforms previous pixel-based approaches on target matching tasks, performing well even in matching irregular target shapes. In addition to improved evolvability in the face of a well defined fitness metric, a NURBS representation has the added virtues of being continuous rather than discrete, as well as being intuitive and easily modified by graphic and industrial designers.}, language = {en} }