]. Ban97 and . W. Banzhaf, Handbook of Evolutionary Computation, ch. Interactive Evolution, vol.2, issue.3, p.9, 1997.

C. A. Bezerianos, . Dragicevic-p, and F. Elmqvist-n, GraphDice: A System for Exploring Multivariate Social Networks, Proc. EuroVis, pp.863-872, 2010.
DOI : 10.1111/j.1467-8659.2009.01687.x
URL : https://hal.archives-ouvertes.fr/inria-00521661

[. and T. A. Keim-d, Quality metrics in high-dimensional data visualization: An overview and systematization, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.1 3, pp.2203-2212, 2011.

]. Car08 and . S. Carpendale, Evaluating information visualizations, pp.19-45, 2008.

[. W. Boukhelifa-n and . Lutton-e, Evographdice: Interactive evolution for visual analytics, IEEE Congress on Evolutionary Computation, 2012.

F. [. Dragicevic-p, Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation, Proc. InfoVis, pp.1141-1148, 2008.

]. Gol89 and . E. Goldberg-d, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.

H. N. Takagi-h, Visualized IEC: interactive evolutionary computation with multidimensional data visualization, IECON 2000. 26th Annual Conference of the IEEE, pp.2738-2743, 2000.

J. Y. Branke, Evolutionary optimization in uncertain environments-a survey, IEEE Trans. Evolutionary Computation, vol.9, issue.3, pp.303-317, 2005.

]. Koz92 and . J. Koza, Genetic Programming, 1992.

L. , L. E. Pilz-m, and L. J. Véhel, The fitness map scheme. application to interactive multifractal image denoising, CEC2005 IEEE Congress on Evolutionary Computation, 2005.

. X. Lsa-*-06-]-llorà, A. F. Sastry-k, and . E. Goldberg-d, Analyzing active interactive genetic algorithms using visual analytics, Proceedings of the 8th annual conference on Genetic and evolutionary computation GECCO '06, ACM, pp.1417-1418, 2006.

]. Lut06 and . E. Lutton, Evolution of fractal shapes for artists and designers. IJAIT, Special Issue on AI in Music and Art, pp.651-672, 2006.

G. [. and J. M. Hauser-h, Interactive visual analysis supporting design, tuning , and optimization of diesel engine injection, Proceedings of IEEE Visualization, 2011.

[. M. Sedlmair-m, The Four- Level Nested Model Revisited: Blocks and Guidelines, Proceedings of the VisWeek Workshop Beyond Time and Errors: Novel Evaluation Methods for Information Visualization (BELIV), 2012.

. [. Langdon-w and . F. Mcphee-n, A field guide to genetic programming, 2008.

]. Smi02 and . I. Smith, A tutorial on principal component analysis, 2002.

. [. North-c and . Duca-k, An insight-based methodology for evaluating bioinformatics visualizations, IEEE Transactions on Visualization and Computer Graphics, vol.11, issue.4 8, pp.443-456, 2005.

S. J. Shneiderman-b, Rank-by-feature framework for interactive exploration of multidimensional data, Information Visualization, vol.4, issue.2, pp.99-113, 2005.

]. Tak98 and . Takagi-h, Interactive Evolutionary Computation: System Optimization Based on Human Subjective Evaluation, p.98, 1998.

W. L. Wills-g, Scagnostics Distributions, Journal of Computational and Graphical Statistics, vol.17, issue.2, pp.473-491, 2008.