B. Chopard and M. Droz, Cellular Automata Modeling of Physical Systems, 1998.

S. Wolfram, A New Kind of Science, Wolfram Media, 2002.

M. Land and R. K. Belew, No Perfect Two-State Cellular Automata for Density Classification Exists, Physical Review Letters, vol.74, issue.25, pp.5148-5150, 1995.
DOI : 10.1103/PhysRevLett.74.5148

M. Mitchell, P. T. Hraber, and J. P. Crutchfield, Revisiting the edge of chaos: Evolving cellular automata to perform computations, Complex Systems, vol.7, pp.89-130, 1993.

M. Mitchell, J. P. Crutchfield, and P. T. Hraber, Evolving cellular automata to perform computations: mechanisms and impediments, Physica D: Nonlinear Phenomena, vol.75, issue.1-3, pp.75-361, 1994.
DOI : 10.1016/0167-2789(94)90293-3

M. Sipper, The evolution of parallel cellular machines: Toward evolware, Biosystems, vol.42, issue.1, pp.29-43, 1997.
DOI : 10.1016/S0303-2647(96)01683-8

D. Andre, F. H. Bennett, I. , and J. R. Koza, Discovery by genetic programming of a cellular automata rule that is better than any known rule for the majority classification problem, Genetic Programming 1996: Proceedings of the First Annual Conference, pp.3-11, 1996.

H. Juillé and J. B. Pollack, Coevolutionary learning: a case study, ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning, pp.251-259, 1998.

R. Breukelaar and T. Bäck, Using a genetic algorithm to evolve behavior in multi dimensional cellular automata, Proceedings of the 2005 conference on Genetic and evolutionary computation , GECCO '05
DOI : 10.1145/1068009.1068024

J. P. Crutchfield, M. Mitchell, and R. Das, Evolutionary design of collective computation in cellular automata, Evolutionary Dynamics: Exploring the Interplay of Selection, Accident, Neutrality, and Function, pp.361-411, 2003.

W. Hordijk, Correlation analysis of the synchronizing-CA landscape, Physica D: Nonlinear Phenomena, vol.107, issue.2-4, pp.225-264, 1997.
DOI : 10.1016/S0167-2789(97)00092-4

R. Das, J. P. Crutchfield, M. Mitchell, and J. E. Hanson, Evolving globally synchronized cellular automata, Proceedings of the Sixth International Conference on Genetic Algorithms, pp.336-343, 1995.

M. S. Capcarrère, M. Sipper, and M. Tomassini, Cellular Automaton that Classifies Density, Physical Review Letters, vol.77, issue.24, pp.4969-4971, 1996.
DOI : 10.1103/PhysRevLett.77.4969

H. Fuk´sfuk´s, Solution of the density classification problem with two cellular automata rules, Physical Review E, vol.55, issue.3, pp.2081-2084, 1997.
DOI : 10.1103/PhysRevE.55.R2081

N. H. Packard, Adaptation toward the edge of chaos, Dynamic Patterns in Complex Systems, pp.293-301, 1988.

J. E. Hanson and J. P. Crutchfield, Computational mechanics of cellular automata: An example, Physica D: Nonlinear Phenomena, vol.103, issue.1-4, 1995.
DOI : 10.1016/S0167-2789(96)00259-X

W. Hordijk, J. P. Crutchfield, and M. Mitchell, Mechanisms of emergent computation in cellular automata, Parallel Problem Solving from Nature-PPSN V, pp.613-622, 1998.
DOI : 10.1007/BFb0056903

T. Jones, Evolutionary algorithms, fitness landscapes and search, 1995.

M. Kimura, The Neutral Theory of Molecular Evolution, 1983.

C. M. Reidys and P. F. Stadler, Neutrality in fitness landscapes, Applied Mathematics and Computation, vol.117, issue.2-3, pp.2-3, 2001.
DOI : 10.1016/S0096-3003(99)00166-6

H. Rosé, W. Ebeling, and T. Asselmeyer, The density of states ??? A measure of the difficulty of optimisation problems, Nature, pp.208-217, 1996.
DOI : 10.1007/3-540-61723-X_985

E. Van-nimwegen, J. Crutchfield, and M. Huynen, Neutral evolution of mutational robustness, Proc. Nat. Acad. Sci. USA 96, pp.9716-9720, 1999.
DOI : 10.1073/pnas.96.17.9716

C. O. Wilke, Adaptive Evolution on Neutral Networks, Bulletin of Mathematical Biology, vol.63, issue.4, pp.715-730, 2001.
DOI : 10.1006/bulm.2001.0244

URL : http://arxiv.org/abs/physics/0101021

M. Huynen, Exploring phenotype space through neutral evolution, Journal of Molecular Evolution, vol.9, issue.3, pp.165-169, 1996.
DOI : 10.1007/BF02338823

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3483

U. Bastolla, M. Porto, H. E. Roman, and M. Vendruscolo, Statistical Properties of Neutral Evolution, Journal of Molecular Evolution, vol.57, issue.0, pp.103-119, 2003.
DOI : 10.1007/s00239-003-0013-4

L. Altenberg, Fitness distance correlation: an instructive counterexample, Seventh International Conference on Genetic Algorithms, pp.57-64, 1997.

R. Quick, V. Rayward-smith, and G. Smith, Fitness distance correlation and Ridge functions, Fifth Conference on Parallel Problems Solving from Nature (PPSN'98), pp.77-86, 1998.
DOI : 10.1007/BFb0056851

M. Clergue, P. Collard, D. B. Fogel, M. A. El-sharkawi, X. Yao et al., GA-hard functions built by combination of Trap functions, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), pp.249-254, 2002.
DOI : 10.1109/CEC.2002.1006242

URL : https://hal.archives-ouvertes.fr/hal-00166375

E. D. Weinberger, model: A tunably rugged energy landscape, Physical Review A, vol.44, issue.10, pp.6399-6413, 1991.
DOI : 10.1103/PhysRevA.44.6399

E. D. Weinberger, Correlated and uncorrelated fitness landscapes and how to tell the difference, Biological Cybernetics, vol.1, issue.5, pp.325-336, 1990.
DOI : 10.1007/BF00202749

G. Box and G. M. Jenkins, Time series analysis, forecasting and control, 1970.

W. Hordijk, A Measure of Landscapes, Evolutionary Computation, vol.63, issue.4, pp.335-360, 1996.
DOI : 10.1162/evco.1996.4.4.335

S. Verel, P. Collard, and M. Clergue, Where are bottlenecks in NK fitness landscapes?, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.273-280, 2003.
DOI : 10.1109/CEC.2003.1299585

URL : https://hal.archives-ouvertes.fr/hal-00159994

N. Madras, Lectures on Monte Carlo Methods, 2002.
DOI : 10.1090/fim/016

L. Vanneschi, M. Clergue, P. Collard, M. Tomassini, and S. Verel, Fitness louds and problem hardness in genetic programming, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO'04, pp.690-701, 2004.

L. Vanneschi, Theory and practice for efficient genetic programming, 2004.

P. Gacs, G. L. Kurdyumov, and L. A. Levin, One-dimensional uniform arrays that wash out finite islands, Problemy Peredachi Informatsii, vol.14, pp.92-98, 1978.

R. Das, M. Mitchell, and J. P. Crutchfield, A genetic algorithm discovers particle-based computation in cellular automata, Parallel Problem Solving from Nature-PPSN III, pp.344-353, 1994.
DOI : 10.1007/3-540-58484-6_278

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.3397

H. Juilì-e and J. B. Pollack, Coevolving the ideal trainer: Application to the discovery of cellular automata rules, Genetic Programming 1998: Proceedings of the Third Annual Conference, pp.519-527, 1998.

P. Collard, S. Verel, and M. Clergue, How to use the scuba diving metaphor to solve problem with neutrality ?, Proceedings of the 2004 European Conference on Artificial Intelligence, pp.166-170, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00160051

L. Barnett, Netcrawling-optimal evolutionary search with neutral networks, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), pp.30-37, 2001.
DOI : 10.1109/CEC.2001.934367

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.841

L. Altenberg, K. E. Kinnear, and J. , The evolution of evolvability in genetic programming, Advances in Genetic Programming, pp.47-74, 1994.