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Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines

  • 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.

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Document Type:Conference Object
Author:Adam Gaier
Parent Title (English):Esparcia-Alcázar, 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
First Page:1197
Last Page:1200
Date of first publication:2015/07/11
Tag:Compositional Pattern Producing Networks; Design Optimization; HyperNEAT; Indirect Encodings; NURBS
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/08/21