X. Yao and Y. Liu, Fast evolution strategies, Evolutionary Programming VI, pp.149-161, 1997.
DOI : 10.1007/BFb0014808
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.5000

T. Schaul, Benchmarking separable natural evolution strategies on the noiseless and noisy black-box optimization testbeds, Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, GECCO Companion '12, p.2012
DOI : 10.1145/2330784.2330815

T. Schaul, T. Glasmachers, and J. Schmidhuber, High dimensions and heavy tails for natural evolution strategies, Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO '11, 2011.
DOI : 10.1145/2001576.2001692

N. Hansen, F. Gemperle, A. Auger, and P. Koumoutsakos, When Do Heavy-Tail Distributions Help?, Parallel Problem Solving from Nature, pp.62-71, 2006.
DOI : 10.1007/11844297_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4821

D. Arnold, On the behaviour of the (1,??)-es for a simple constrained problem, Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms, FOGA '11, pp.15-24, 2011.
DOI : 10.1145/1967654.1967657

D. Arnold, On the Behaviour of the (1,??)-??SA-ES for a Constrained Linear Problem, Parallel Problem Solving from Nature -PPSN XII, pp.82-91, 2012.
DOI : 10.1007/978-3-642-32937-1_9

A. Chotard, A. Auger, and N. Hansen, Cumulative Step-Size Adaptation on Linear Functions, Parallel Problem Solving from Nature -PPSN XII, pp.72-81, 2012.
DOI : 10.1007/978-3-642-32937-1_8
URL : https://hal.archives-ouvertes.fr/hal-00759577

A. Chotard, A. Auger, and N. Hansen, Markov chain analysis of evolution strategies on a linear constraint optimization problem, 2014 IEEE Congress on Evolutionary Computation (CEC)
DOI : 10.1109/CEC.2014.6900656
URL : https://hal.archives-ouvertes.fr/hal-00977379

N. Hansen and A. Ostermeier, Completely Derandomized Self-Adaptation in Evolution Strategies, Evolutionary Computation, vol.9, issue.2, pp.159-195, 2001.
DOI : 10.1016/0004-3702(95)00124-7

C. A. Coello, Constraint-handling techniques used with evolutionary algorithms, Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation, pp.2445-2466, 2008.

D. Arnold and D. Brauer, On the Behaviour of the (1+1)-ES for a Simple Constrained Problem, Parallel Problem Solving from Nature, pp.1-10, 2008.
DOI : 10.1007/978-3-540-87700-4_1

A. Cuesta-infante, R. Santana, J. Hidalgo, C. Bielza, and P. Larrañaga, Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms, IEEE Congress on Evolutionary Computation, pp.1-8, 2010.
DOI : 10.1109/CEC.2010.5586557

L. Wang, X. Guo, J. Zeng, and Y. Hong, Copula estimation of distribution algorithms based on exchangeable Archimedean copula, International Journal of Computer Applications in Technology, vol.43, issue.1, pp.13-20, 2012.
DOI : 10.1504/IJCAT.2012.045836

R. Salinas-gutierrez, A. Hernández-aguirre, and E. Villa-diharce, Using Copulas in Estimation of Distribution Algorithms, MICAI 2009: Advances in Artificial Intelligence, pp.658-668, 2009.
DOI : 10.1007/978-3-642-05258-3_58

S. P. Meyn and R. L. Tweedie, Markov chains and stochastic stability, 1993.

H. Beyer, Toward a Theory of Evolution Strategies: Self-Adaptation, Evolutionary Computation, vol.2, issue.4, pp.311-347, 1995.
DOI : 10.1162/evco.1993.1.2.165