Evolving art with scalable vector graphics

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Reference

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)

DOI

http://dx.doi.org/10.1145/2001576.2001635

Abstract

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

Extended Abstract

Bibtex

Used References

[1] Shumeet Baluja, Dean Pomerleau, and Todd Jochem. Towards automated artificial evolution for computer-generated images. Connection Science, 6:325–354, 1994.

[2] P. J. Bentley and D. W. Corne, editors. Creative Evolutionary Systems. Morgan Kaufmann, San Mateo, California, 2001.

[3] E. den Heijer and A. E. Eiben. Using aesthetic measures to evolve art. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 18-23 July 2010. IEEE Press.

[4] E. den Heijer and A.E. Eiben. Comparing aesthetic measures for evolutionary art. In Applications of Evolutionary Computation, LNCS 6025, 2010, pages 311–320, 2010.

[5] E. den Heijer and A.E. Eiben. Evolving art using multiple aesthetic measures. In EvoApplications, LNCS 6625, 2011, pages 234–243, 2011.

J. Eisenberg. SVG Essentials. O’Reilly Media, 2002.

J. Gips G. Stiny. Shape grammars and the generative specification of painting and sculpture. In Information Processing, pages 1460–1465, 1972.

Gary R. Greenfield. Mathematical building blocks for evolving expressions. In R. Sarhangi, editor, 2000 Bridges Conference Proceedings, pages 61–70, Winfield, KS, 2000. Central Plain Book Manufacturing.

Kresimir Matkovic, László Neumann, Attila Neumann, Thomas Psik, and Werner Purgathofer. Global contrast factor-a new approach to image contrast. In László Neumann, Mateu Sbert, Bruce Gooch, and Werner Purgathofer, editors, Computational Aesthetics, pages 159–168. Eurographics Association, 2005.

Jon McCormack. Open problems in evolutionary music and art. In Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, and Giovanni Squillero, editors, EvoWorkshops, volume 3449 of Lecture Notes in Computer Science, pages 428–436. Springer, 2005.

Michael O’Neill, John Mark Swafford, James McDermott, Jonathan Byrne, Anthony Brabazon, Elizabeth Shotton, Ciaran McNally, and Martin Hemberg. Shape grammars and grammatical evolution for evolutionary design. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO ’09, pages 1035–1042, New York, NY, USA, 2009. ACM.

Henrique Nunes Penousal Machado and Juan Romero. Graph-based evolution of visual languages. In Applications of Evolutionary Computation, Lecture Notes in Computer Science, 2010, Volume 6025/2010, pages 271–280, 2010.

Juan Romero and Penousal Machado, editors. The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music. Natural Computing Series. Springer Berlin Heidelberg, November 2007.

Steven Rooke. Eons of genetically evolved algorithmic images. In Bentley and Corne [2], pages 339–365.


[15] Brian Ross, William Ralph, and Hai Zong. Evolutionary image synthesis using a model of aesthetics. In IEEE Congress on Evolutionary Computation (CEC) 2006, pages 1087–1094, 2006.

[16] Thorsten Schnier and John S. Gero. Learning genetic representations as alternative to handcoded shape grammars. In Artificial Intelligence in Design ’96.

[17] Karl Sims. Artificial evolution for computer graphics. In SIGGRAPH ’91: Proceedings of the 18th annual conference on Computer graphics and interactive techniques, volume 25, pages 319–328. ACM Press, July 1991.

[18] Hideyuki Takagi. Interactive evolutionary computation: Fusion of the capacities of ec optimization and human evaluation. Proceedings of the IEEE, 89(9):1275–1296, 2001.

[19] World Wide Web Consortium (W3C). Scalable vector graphics (svg). http://www.w3.org/Graphics/SVG/.



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Full Text

http://www.few.vu.nl/~eelco/publications/E-den-Heijer-and-AE-Eiben-Evolving-Art-With-Scalable-Vector-Graphics-2011.pdf


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