Interactive evolution of ant paintings
Inhaltsverzeichnis
Reference
Aupetit, S., Bordeau, V., Monmarche, N., Slimane, M., Venturini, G.: Interactive evolution of ant paintings. In: The 2003 Congress on Evolutionary Computation, CEC 2003, vol. 2, pp. 1376–1383 (2004)
DOI
http://dx.doi.org/10.1109/CEC.2003.1299831
Abstract
We present how we use an interactive genetic algorithm to find the best parameters to build an artificial art work according to user's aesthetic taste. Ants are used to spread colors on a numerical painting and behave with very simple rules to follow and deposit colors. These rules and colors are considered as parameters for the evolutionary process. This work can be considered as a contribution to naturally inspired artificial art and evolutionary techniques are used to help artists in their creative process.
Extended Abstract
Bibtex
Used References
P.J. Bentley and D.W. Come, editors. Creative Evolutionary Systems. Morgan Kaufmann, 2001.
E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York, 1999.
C. Bourjot, V. Chevrier, and V. Thomas. A new swarm mechanism based on social spiders colonies: from web weaving to region detection. Web Intelligence and Agent Systems: An International Journal - W1AS. 2003.
R. Dawkins. The Blind Watchmaker. Longman, Harlow, 1986.
J.H. Holland. Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, 1975.
B. Holldobler and E.O. Wilson. The Ants. Springer Verlag, Berlin, Germany, 1990. http://dx.doi.org/10.1007/978-3-662-10306-7
N. Labroche, N. Monmarche, and G. Venturini. AntClust: Ant Clustering and Web Usage Mining. In Genetic and Evolutionary Computation Conference, pages 25-36, Chicago, 2003. http://dx.doi.org/10.1007/3-540-45105-6_3
M. Lewis. Visual aesthetic evolutionary design links. http://www.cgrg.ohio-state.edu/mlewis/aed.html, 2000.
Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer Verlag, third edition, 1996. http://dx.doi.org/10.1007/978-3-662-03315-9
N. Monmarche, G. Nocent, M. Slimane, and G. Venturini. Imagine: A tool for generating HTML style sheets with an interactive genetic algorithm based on genes frequencies. In IEEE International Conference on Systems, Man, and Cybernetics (SMC'99), volume 3, pages 640-645, Tokyo, Japan, October 12-15 1999. http://dx.doi.org/10.1109/ICSMC.1999.823287
N. Monmarche, M. Slimane, and G. Venturini. On improving clustering in numerical databases with artificial ants. In D. Floreano, J.D. Nicoud, and F. Mondala, editors, 5th European Conference on Artificial Life (ECAL'99), Lecture Notes in Artificial Intelligence, volume 1674, pages 626-635, Swiss Federal Institute of Technology, Lausanne, Switzerland, 13-17 September 1999. Springer-Verlag. http://dx.doi.org/10.1007/3-540-48304-7_83
N. Monmarche, M. Slimane, and G. Venturini. Four- mis artistiques ou I'art artificiel pictural et musical. In Hypertextes et Hypermedias, Realisations, Outils & Methodes (H2PTM'03), Paris, France, septembre 2003. Hermes.
N. Monmarche, G. Venturini, and M. Slimane. On how Pachycondyla apicalis ants suggest a new search algorithm. Future Generation Computer Systems, 16(8):937-946, 2000. http://dx.doi.org/10.1016/S0167-739X(00)00047-9
A. Oliver, N. Monmarche, and G. Venturini. Interactive design of web sites with a genetic algorithm. In Proceedings of the IADIS International Conference WWW/Internet, pages 355-362, Lisbon, Portu-gal, november 13-15 2002.
V. Ramos and F. Almeida. Artificial ant colonies in digital image habitats - A mass behaviour effect study on pattern recognition. In M. Dorigo, M. Middendoff, and T. Stiitzle, editors, Proceedings of ANTS'2000, 2000.
T. Stiitzle and M. Dorigo. ACO algorithms for the Traveling Salesman Problem. In K. Miettinen, M. Makela, P. Neiuaanmaki, and J. Periaux, editors, Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications. John Wiley & Sons, 1999.
H. Takagi. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. In Proceedings of the IEEE, volume 89, pages 1275-1296, September 2001. http://dx.doi.org/10.1109/5.949485
V. T. Kindt, N. Monmarche, F. Tercinet, and D. Latigt. An Ant Colony Optimization algorithm to solve a 2- machine bicriteria flowshop scheduling problem. European Journal of Operational Research, 142(2):250- 257, 2002. http://dx.doi.org/10.1016/S0377-2217(02)00265-5
E.S. Tzafestas. Integrating drawing tools with behavioral modeling in digital painting. In Proceedings of the 1st International Workshop Bridging the gap : Bringing together new media artists and multimedia technologists", Los Angeles, CA, November 2000. http://dx.doi.org/10.1145/357744.357756
J.I. van Hemert and A.E. Eiben. Mondriaan art by evolution. In Eric Postma and Marc Gyssens, editors, Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), pages 291-292, Kasteel Vaeshartelt, Maastricht, Holland, 34 November 1999.
G. Venturini, M. Slimane, F. Morin, and J.-P. Asselin de Beauville. On using interactive genetic algorithms for knowledge discovery in databases. In T. Back, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 696-703. Morgan Kaufmann, San Francisco, CA, 1997.
Links
Full Text
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.331.2400&rep=rep1&type=pdf
