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<p>Die Seite wurde neu angelegt: „ == Reference == den Heijer, E., Eiben, A.: Evolving art with scalable vector graphics. In: Proceedings of the 13th Annual Conference on Genetic and Evolutiona…“</p> <p><b>Neue Seite</b></p><div><br /> == Reference ==<br /> den Heijer, E., Eiben, A.: Evolving art with scalable vector graphics. In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, GECCO 2011, pp. 427–434. ACM (2011) <br /> <br /> == DOI ==<br /> http://dx.doi.org/10.1145/2001576.2001635 <br /> <br /> == Abstract ==<br /> In this paper we introduce the use of Scalable Vector Graphics (SVG) as a representation for evolutionary art. We describe the technical aspects of using SVG in evolutionary art, and explain the genetic operators mutation and crossover. Furthermore, we compare the use of SVG with existing representations in evolutionary art. We performed a number of experiments in an unsupervised evolutionary art system using two aesthetic measures as fitness functions, and compared the outcome of the different experiments with each other and with previous work with symbolic expressions as the representation. All images and SVG code examples in this paper are available at http://www.few.vu.nl/~eelco<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> [1] Shumeet Baluja, Dean Pomerleau, and Todd Jochem.<br /> Towards automated artificial evolution for<br /> computer-generated images. Connection Science, 6:325–354,<br /> 1994.<br /> <br /> [2] P. J. Bentley and D. W. Corne, editors. Creative Evolutionary<br /> Systems. Morgan Kaufmann, San Mateo, California, 2001.<br /> <br /> [3] E. den Heijer and A. E. Eiben. Using aesthetic measures to<br /> evolve art. In IEEE Congress on Evolutionary Computation<br /> (CEC 2010), Barcelona, Spain, 18-23 July 2010. IEEE Press.<br /> <br /> [4] E. den Heijer and A.E. Eiben. Comparing aesthetic measures<br /> for evolutionary art. In Applications of Evolutionary<br /> Computation, LNCS 6025, 2010, pages 311–320, 2010.<br /> <br /> [5] E. den Heijer and A.E. Eiben. Evolving art using multiple<br /> aesthetic measures. In EvoApplications, LNCS 6625, 2011,<br /> pages 234–243, 2011.<br /> <br /> J. Eisenberg. SVG Essentials. O’Reilly Media, 2002.<br /> <br /> J. Gips G. Stiny. Shape grammars and the generative<br /> specification of painting and sculpture. In Information<br /> Processing, pages 1460–1465, 1972.<br /> <br /> Gary R. Greenfield. Mathematical building blocks for<br /> evolving expressions. In R. Sarhangi, editor, 2000 Bridges<br /> Conference Proceedings, pages 61–70, Winfield, KS, 2000.<br /> Central Plain Book Manufacturing.<br /> <br /> Kresimir Matkovic, László Neumann, Attila Neumann,<br /> Thomas Psik, and Werner Purgathofer. 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In IEEE<br /> Congress on Evolutionary Computation (CEC) 2006, pages<br /> 1087–1094, 2006.<br /> <br /> [16] Thorsten Schnier and John S. Gero. Learning genetic<br /> representations as alternative to handcoded shape grammars.<br /> In Artificial Intelligence in Design ’96.<br /> <br /> [17] Karl Sims. Artificial evolution for computer graphics. In<br /> SIGGRAPH ’91: Proceedings of the 18th annual conference<br /> on Computer graphics and interactive techniques,<br /> volume 25, pages 319–328. ACM Press, July 1991.<br /> <br /> [18] Hideyuki Takagi. Interactive evolutionary computation:<br /> Fusion of the capacities of ec optimization and human<br /> evaluation. Proceedings of the IEEE, 89(9):1275–1296,<br /> 2001.<br /> <br /> [19] World Wide Web Consortium (W3C). Scalable vector<br /> graphics (svg). http://www.w3.org/Graphics/SVG/.<br /> <br /> <br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.few.vu.nl/~eelco/publications/E-den-Heijer-and-AE-Eiben-Evolving-Art-With-Scalable-Vector-Graphics-2011.pdf<br /> <br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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