Abstract
In this paper the effects of introducing novelty search in evolutionary art are explored. Our algorithm combines fitness and novelty metrics to frame image evolution as a multi-objective optimisation problem, promoting the creation of images that are both suitable and diverse. The method is illustrated by using two evolutionary art engines for the evolution of figurative objects and context free design grammars. The results demonstrate the ability of the algorithm to obtain a larger set of fit images compared to traditional fitness-based evolution, regardless of the engine used.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
In the context of the present paper, novelty means phenotypic diversity.
References
Boden, M.A.: The Creative Mind: Myths and Mechanisms. Psychology Press, New York (2004)
Kowaliw, T., Dorin, A., McCormack, J.: Promoting creative design in interactive evolutionary computation. IEEE Trans. Evol. Comput. 16(4), 523 (2012)
Sims, K.: Artificial evolution for computer graphics. ACM Comput. Graph. 25, 319–328 (1991)
Machado, P., Cardoso, A.: All the truth about NEvAr. Appl. Intel. 16(2), 101–119 (2002). Special Issue on Creative Systems
McCormack, J.: Facing the future: evolutionary possibilities for human-machine creativity. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution. Natural Computing Series, pp. 417–451. Springer, Heidelberg (2008)
Correia, J., Machado, P., Romero, J., Carballal, A.: Evolving figurative images using expression-based evolutionary art. In: Proceedings of the Fourth International Conference on Computational Creativity (ICCC), pp. 24–31 (2013)
Machado, P., Correia, J., Romero, J.: Expression-based evolution of faces. In: Machado, P., Romero, J., Carballal, A. (eds.) EvoMUSART 2012. LNCS, vol. 7247, pp. 187–198. Springer, Heidelberg (2012)
Machado, P., Correia, J., Romero, J.: Improving face detection. In: Moraglio, A., Silva, S., Krawiec, K., Machado, P., Cotta, C. (eds.) EuroGP 2012. LNCS, vol. 7244, pp. 73–84. Springer, Heidelberg (2012)
Machado, P., Vinhas, A., Correia, J.A., Ekárt, A.: Evolving ambiguous images. In: Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI 2015, pp. 2473–2479. AAAI Press (2015)
Horigan, J., Lentczner, M.: Context Free Design Grammar version 2 syntax (2015). http://www.contextfreeart.org/mediawiki/index.php/Version_2_Syntax
Machado, P., Correia, J., Assunção, F.: Graph-based evolutionary art. In: Gandomi, A., Alavi, A.H., Ryan, C. (eds.) Handbook of Genetic Programming Applications. Springer, Heidelberg (2015)
Krcah, P., Toropila, D.: Combination of novelty search and fitness-based search applied to robot body-brain co-evolution. In: Czech-Japan Seminar on Data Analysis and Decision Making in Service Science, pp. 1–6 (2010)
Methenitis, G., Hennes, D., Izzo, D., Visser, A.: Novelty search for soft robotic space exploration. In: Proceedings of the 2015 on Genetic and Evolutionary Computation Conference, GECCO 2015, pp. 193–200. ACM, New York (2015)
Mouret, J.-B.: Novelty-based multiobjectivization. In: Doncieux, S., Bredèche, N., Mouret, J.-B. (eds.) New Horizons in Evolutionary Robotics. SCI, vol. 341, pp. 139–154. Springer, Heidelberg (2011)
Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. In: FDG, pp. 213–220 (2013)
Secretan, J., Beato, N., D’Ambrosio, D.B., Rodriguez, A., Campbell, A., Folsom-Kovarik, J.T., Stanley, K.O.: Picbreeder: a case study in collaborative evolutionary exploration of design space. Evol. Comput. 19(3), 373–403 (2011)
Lehman, J., Stanley, K.O.: Exploiting open-endedness to solve problems through the search for novelty. In: Proceedings of the Eleventh International Conference on Artificial Life (ALIFE XI). MIT Press, Cambridge (2008)
Saunders, R., Gero, J.S.: The digital clockwork muse: a computational model of aesthetic evolution. Proc. AISB 1, 12–21 (2001)
Silberschatz, A., Tuzhilin, A.: What makes patterns interesting in knowledge discovery systems. IEEE Trans. Knowl. Data Eng. 8(6), 970–974 (1996)
Kohonen, T.: Self-Organization and Associative Memory, 3rd edn. Springer, New York (1989)
Lehman, J., Stanley, K.O.: Revising the evolutionary computation abstraction: minimal criteria novelty search. In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, pp. 103–110. ACM (2010)
Liapis, A., Yannakakis, G., Togelius, J.: Enhancements to constrained novelty search: two-population novelty search for generating game content. In: Proceedings of Genetic and Evolutionary Computation Conference (2013)
Kimbrough, S.O., Koehler, G.J., Lu, M., Wood, D.H.: On a feasible-infeasible two-population (FI-2Pop) genetic algorithm for constrained optimization: distance tracing and no free lunch. Eur. J. Oper. Res. 190(2), 310–327 (2008)
Cuccu, G., Gomez, F.: When novelty is not enough. In: Di Chio, C., et al. (eds.) EvoApplications 2011, Part I. LNCS, vol. 6624, pp. 234–243. Springer, Heidelberg (2011)
Vinhas, A.: Novelty and figurative expression-based evolutionary art. Master’s thesis, Department of Informatic Engineering, Faculty of Sciences and Technology, University of Coimbra, July 2015
Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multiobjective optimization. Evol. Comput. 3(1), 1–16 (1995)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, p. 511 (2001)
Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recogn. 29(1), 51–59 (1996)
Horigan, J., Lentczner, M.: Context Free (2014). http://www.contextfreeart.org/
Machado, P., Nunes, H.: A step towards the evolution of visual languages. In: First International Conference on Computational Creativity, Lisbon, Portugal (2010)
Machado, P., Nunes, H., Romero, J.: Graph-based evolution of visual languages. In: Di Chio, C., et al. (eds.) EvoApplications 2010, Part II. LNCS, vol. 6025, pp. 271–280. Springer, Heidelberg (2010)
Assunção, F.: Grammar based evolutionary design. Master’s thesis, Department of Informatic Engineering, Faculty of Sciences and Technology, University of Coimbra, July 2015
Ross, B.J., Ralph, W., Zong, H.: Evolutionary image synthesis using a model of aesthetics. In: IEEE Congress on Evolutionary Computation, CEC 2006, pp.1087–1094. IEEE (2006)
Acknowledgments
The project ConCreTe acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grant number 611733. This research is also partially funded by: Fundação para a Ciência e Tecnologia (FCT), Portugal, under the grant SFRH/BD/90968/2012. The authors also acknowledge the feedback provided by the blind reviewers of this paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Vinhas, A., Assunção, F., Correia, J., Ekárt, A., Machado, P. (2016). Fitness and Novelty in Evolutionary Art. In: Johnson, C., Ciesielski, V., Correia, J., Machado, P. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2016. Lecture Notes in Computer Science(), vol 9596. Springer, Cham. https://doi.org/10.1007/978-3-319-31008-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-31008-4_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31007-7
Online ISBN: 978-3-319-31008-4
eBook Packages: Computer ScienceComputer Science (R0)