H. Takagi, Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation, Proceedings of the IEEE, vol.89, issue.9, pp.1275-1296, 2001.
DOI : 10.1109/5.949485

D. Costelloe and C. Ryan, Genetic Programming for Subjective Fitness Function Identification, Genetic Programming, pp.259-268, 2004.
DOI : 10.1007/978-3-540-24650-3_24

X. Llorà and K. Sastry, Combating user fatigue in iGAs, Proceedings of the 2005 conference on Genetic and evolutionary computation , GECCO '05, pp.1363-1370, 2005.
DOI : 10.1145/1068009.1068228

X. Llorà, K. Sastry, and F. Alias, Analyzing active interactive genetic algorithms using visual analytics, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.1417-1418, 2006.
DOI : 10.1145/1143997.1144223

T. Holmes and J. Zanker, Eye on the prize, Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO '08, pp.1531-1538, 2008.
DOI : 10.1145/1389095.1389390

D. Pallez, P. Collard, T. Baccino, and L. Dumercy, Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem, Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation , GECCO '07, pp.2883-2886, 2007.
DOI : 10.1145/1274000.1274098

URL : https://hal.archives-ouvertes.fr/hal-00165139

B. Johanson, Automated Fitness Raters for the GP-Music System, University of Birmingham, 1997.

Y. Nakano and H. Takagi, Influence of fitness quantization noise on the performance of interactive PSO, 2009 IEEE Congress on Evolutionary Computation, 2009.
DOI : 10.1109/CEC.2009.4983243

R. Storn and K. Price, Differential Evolution ? A Simple and Efficient Heuristic for global Optimization over Continuous Spaces, Journal of Global Optimization, vol.11, issue.4, pp.341-359, 1997.
DOI : 10.1023/A:1008202821328

T. Akbal, G. N. Demir, A. E. Kanlikiliçer, M. C. Kus, and F. H. Ulu, Interactive Nature-Inspired Heuristics for Automatic Facial Composite Generation, Genetic and Evolutionary Computation Conference (GECCO), 2006.

A. E. Kanl?k?l?çer, Interactive Differential Evolution for Facial Composite Generation, Genetic and Evolutionary Computation (GECCO), 2006.

B. Kurt, A. S. Etaner-uyar, T. Akbal, N. Demir, A. E. Kanlikilicer et al., Active Appearance Model-Based Facial Composite Generation with Interactive Nature-Inspired Heuristics, Lecture Notes in Computer Science, vol.4105, pp.183-190, 2006.
DOI : 10.1007/11848035_26

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.4538

P. J. Angeline and J. B. Pollack, Competitive Environments Evolve Better Solutions for Complex Tasks, 5th International Conference on Genetic Algorithms, pp.264-270, 1993.

L. Panait and S. Luke, A Comparison Of Two Competitive Fitness Functions, GECCO (Genetic and Evolutionary Computation COnference), pp.503-511, 2002.

A. P. Engelbrecht, Introduction to Computational Intelligence, 2007.
DOI : 10.1002/9780470512517.ch1