W. Banzhaf, G. Beslon, S. Christensen, J. A. Foster, F. Képès et al., Guidelines: From artificial evolution to computational evolution: a research agenda, Nature Reviews Genetics, vol.69, issue.9, pp.729-735, 2006.
DOI : 10.1038/nrg1921
URL : https://hal.archives-ouvertes.fr/hal-00793902

M. Kirschner and J. Gerhart, The plausibility of life: Resolving Darwin's dilemma, 2005.

J. Hasty, D. Mcmillan, F. Isaacs, and J. J. Collins, Computational studies of gene regulatory networks: In numero molecular biology, Nature Reviews Genetics, vol.2, issue.4, pp.268-279, 2001.
DOI : 10.1038/35066056

M. A. Lones and A. M. Tyrrell, Modelling biological evolvability: implicit context and variation filtering in enzyme genetic programming, Biosystems, vol.76, issue.1-3, pp.76229-238, 2004.
DOI : 10.1016/j.biosystems.2004.05.015

S. Zhan, J. F. Miller, and A. M. Tyrrell, An evolutionary system using development and artificial Genetic Regulatory Networks, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008.
DOI : 10.1109/CEC.2008.4630890

W. Banzhaf, Artificial Regulatory Networks and Genetic Programming, Genetic Programming Theory and Practice, pp.43-62, 2003.
DOI : 10.1007/978-1-4419-8983-3_4

K. Wolfe and D. Shields, Molecular evidence for an ancient duplication of the entire yeast genome, Nature, vol.387, issue.6634, pp.708-713, 1997.
DOI : 10.1038/42711

M. Kellis, B. W. Birren, and E. S. Lander, Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae, Nature, vol.428, issue.6983, pp.617-624, 2004.
DOI : 10.1038/nature02424

P. D. Kuo and W. Banzhaf, Small world and scale-free network topologies in an artificial regulatory network model, Artificial Life IX, pp.404-409, 2004.

A. G. Barto, R. S. Sutton, and C. W. Anderson, Neuronlike adaptive elements that can solve difficult learning control problems, IEEE Transactions on Systems, Man, and Cybernetics, vol.13, issue.5, pp.834-846, 1983.
DOI : 10.1109/TSMC.1983.6313077

D. Whitley, S. Dominic, R. Das, and C. W. Anderson, Genetic reinforcement learning for neurocontrol problems, Machine Learning, pp.2-3259, 1993.
DOI : 10.1007/978-1-4615-2740-4_5

I. Rechenberg, Evolutionsstrategie '94. Frommann-Holzboog, 1994.