Abstract
We present human guided evolution of brochure documents. The user interacts with a genetic algorithm, which evolves placeholders, each placeholder represented with one of three shapes: (1) ellipse, (2) rectangle, and (3) rounded rectangle. The user guides the evolutionary process by evaluating a small subset taken from a large population of documents. Along with the subjective user input, individuals in the population of the genetic algorithm are evaluated on a set of objective heuristics for document design. We present pretest results, including an evaluation of the tool and documents created.
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References
Andrews, J., Smith, D.C.: In search of the marketing imagination: Factors affecting the creativity of marketing programs for mature products. Journal of Marketing Research 33, 174–187 (1996)
Banerjee, A., Quiroz, J.C., Louis, S.J.: A Model of Creative Design Using Collaborative Interactive Genetic Algorithms, pp. 397–416. Springer, Heidelberg (2008)
Bentley, P.J., Wakefield, J.P.: Conceptual evolutionary design by genetic algorithms. Engineering Design and Automation Journal 3, 119–131 (1997)
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley and Sons, Chichester (2001)
Geigel, J., Loui, A.: Using genetic algorithms for album page layouts. IEEE Multimedia 10, 16–27 (2003)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Professional, Reading (1989)
Harrington, S.J., Naveda, J.F., Jones, R.P., Roetling, P., Thakkar, N.: Aesthetic measures for automated document layout. In: Proceedings of the 2004 ACM symposium on Document engineering, pp. 109–111. ACM, Milwaukee (2004)
Llorà , X., Sastry, K., Goldberg, D.E., Gupta, A., Lakshmi, L.: Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness, pp. 1363–1370. ACM, Washington (2005)
Norman, D.A.: The Design of Everyday Things. Basic Books (2002)
Quiroz, J.C., Banerjee, A., Louis, S.J.: IGAP: interactive genetic algorithm peer to peer, pp. 1719–1720. ACM, Atlanta (2008)
Quiroz, J.C., Louis, S.J., Dascalu, S.M.: Interactive evolution of XUL user interfaces, pp. 2151–2158. ACM Press, London (2007)
Renner, G.: Genetic algorithms in CAD. Computer-Aided Design 35, 707–708 (2003)
Takagi, H.: Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proceedings of the IEEE 89, 1275–1296 (2001)
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Quiroz, J.C., Banerjee, A., Louis, S.J., Dascalu, S.M. (2009). Document Design with Interactive Evolution. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_28
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DOI: https://doi.org/10.1007/978-3-642-02937-0_28
Publisher Name: Springer, Berlin, Heidelberg
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