Tools
Tools
Sarafopoulos, A. and Buxton, B., 2007. Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems. In: Ebner, M., O'Neill, M., Vanneschi, L., Ekart, A. and Esparcia Alcázar, I., eds. Genetic Programming. Berlin, Heidelberg: Springer-Verlag, pp. 68-77.
Full text not available from this repository.
DOI: 10.1007/978-3-540-71605-1_7
Abstract
In this paper we present an empirical comparison between evolutionary representations for the resolution of the inverse problem for iterated function systems (IFS). We introduce a class of problem instances that can be used for the comparison of the inverse IFS problem as well as a novel technique that aids exploratory analysis of experiment data. Our comparison suggests that representations that exploit problem specific information, apart from quality/fitness feedback, perform better for the resolution of the inverse problem for IFS.
| Item Type: | Book Section |
|---|---|
| ISBN: | 978-3-540-71602-0 |
| Series Name: | Lecture Notes in Computer Science |
| Number: | 4445/2 |
| Series Name: | Lecture Notes in Computer Science |
| Additional Information: | Proceedings of the 10th European Conference on Genetic Programming, 11 - 13 April, 2007, Valencia, Spain |
| Subjects: | Arts > Graphic Arts Generalities > Computer Science and Informatics |
| Group: | Media School > National Centre for Computer Animation |
| ID Code: | 3555 |
| Deposited By: | INVALID USER |
| Deposited On: | 31 May 2007 |
| Last Modified: | 07 Mar 2013 14:40 |
| Repository Staff Only - | |
| BU Staff Only - | |
| Help Guide - | Editing Your Items in BURO |