A. Bedenel, C. Biernacki, and L. Jourdan, Appariement de donnees evoluant en temps. Societe francaise de statistique, 2016.

K. P. Burnham and D. R. Anderson, Multimodel inference: understanding AIC and BIC in model selection, Sociological methods & research, vol.33, pp.261-304, 2004.

G. Mclachlan and K. Thriyambakam, The EM algorithm and extensions, vol.382, 2007.

R. B. Agrawal and K. Deb, Simulated binary crossover for continuous search space, Complex systems, vol.9, pp.115-148, 1995.

C. Reeves, Genetic algorithms. Handbook of metaheuristics, pp.55-82, 2003.

B. L. Miller and D. E. Goldberg, Genetic algorithms, tournament selection, and the effects of noise, Complex systems, vol.9, issue.3, pp.193-212, 1995.

J. J. Durillo and A. J. Nebro, jMetal a Java Framework for Multi-Objective Optimization, Advances in Engineering Software, vol.42, pp.760-771, 2011.
DOI : 10.1016/j.advengsoft.2011.05.014

K. G. Balcombe, Model Selection Using Information Criteria and Genetic Algorithms, Computational Economics, vol.25, issue.3, pp.207-228, 2005.
DOI : 10.1007/s10614-005-2209-8

R. R. Bies, M. F. Muldoon, B. G. Pollock, S. Smith, and M. E. , Sale A Genetic Algorithm-Based, Hybrid Machine Learning Approach to Model Selection Journal of Pharmacokinetics and Pharmacodynamics, vol.33, issue.2, pp.195-221, 2006.

A. Blauth and I. Pigeot, Using Genetic Algorithms for Model Selection in, Graphical Models Sonderforschungsbereich, vol.386, 2002.

S. Paterlini and T. Minerva, Regression model selection using genetic algorithms. 11th WSEAS, pp.19-27, 2010.

L. Yao and W. A. Sethares, Nonlinear parameter estimation via the genetic algorithm, IEEE Transactions on Signal Processing, vol.42, pp.927-935, 1994.

E. G. Talbi, Metaheuristics: from design to implementation, vol.74, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00750681

K. Deb and D. Deb, Analysing mutation schemes for real-parameter genetic algorithms, International Journal of Artificial Intelligence and Soft Computing, vol.4, issue.1, pp.1-28, 2014.
DOI : 10.1504/ijaisc.2014.059280

F. Vavak and T. C. Fogarty, A comparative study of steady state and generational genetic algorithms for use in nonstationary environments, AISB workshop on Evolutionary Computing, 1996.

J. H. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, 1992.