Abstract
This paper presents a novel Computer supported design System which uses computational approach to producing 3D images for stimulating creativity of designers. It put forward generic algorithm based on a binary tree to generate 3D images. This approach is illustrated by an artwork design example, which uses general complex function expressions to form 3D images of artistic flowers. It shows that approach is able to generate some innovative Solutions and demonstrates the power of computational approach.
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References
C. Soddu. Argenia, naturality in industrial design, In: Proc. 3rd International Conference on Computer-Aided Industrial Design and Conceptual Design, CAID&CD’2000, International Academic Publisher, World Publisher Corporation, December 2000.
R. Saunders, J.S. Gero. Artificial creativity: A synthetic approach to the study of creative behaviour, in JS Gero and ML Maher (eds), Computational and Cognitive Models of Creative Design V, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, 2001,pp. 113–139.
J. H. Frazer etc. Generative and evolutionary techniques for building envelope design Generative Art 2002.
J. S. Gero, V. Kazakov. An exploration-based evolutionary model of generative design process, Microcomputers in Civil Engineering 1996, 11:209–216.
C. Soddu, Visionary variations, personal exhibitions at Hong Kong Museum, Visual Art Centre, 2002.
I. DeFalco, R. DelBalio, A. DellaCioppa, E Tarantino, A parallel genetic algorithm for transonic airfoil optimisation, In: Proc. International Conference on Evolutionary Computation 1995, Perth, Western Australia, 1995.
Y. Nakanishi, Capturing preference into a function using interactions with a manual evolutionary design aid System. In: Proc. Genetic Programming’ 96, Stanford University, 1996.
M. Pontecorvo. N. Elzenga, Exploring designer/consumer dialog in evolutionary product design Systems, In: Proc. AISB’99, Society for Artificial Intelligence and Simulated Behavior, Edinburgh, Scotland, 1999.
A. S. Thomas, Data Structure, algorithms, and Software principles, Addison-Wesley Publishing Company, inc.U.S.A. 1994.
B. Mckay, M. J. Willis, G. W. Barton, Using a ree structured genetic algorithm to perform symbolic regression, In Proceedings of the First IEE/IEEE International Conference on Genetic Algorithm in Engineering Systems: Innovations and Applications, Halifax Hall, University of Sheffield, UK. 1995, 487–498.
H. Liu, M. X. Tang, J. H. Frazer. Supporting dynamic management in a multiagent collaborative design System. International Journal of Advances in Engineering Software, 2004, 35(8–9): 493–502.
H. Liu, M. X. Tang, J. H. Frazer, Supporting creative design in a visual evolutionary Computing environment. International Journal of Advances in Engineering Software, 2004, 35(5): 261–271.
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© 2007 International Federation for Information Processing
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Liu, H., Liu, X. (2007). Generative Art Images by Complex Functions Based Genetic Algorithm. In: León-Rovira, N. (eds) Trends in Computer Aided Innovation. IFIP The International Federation for Information Processing, vol 250. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75456-7_13
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DOI: https://doi.org/10.1007/978-0-387-75456-7_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-75455-0
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