S. Baluja, Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning, 1994.

H. Beyer, The Theory of Evolution Strategies. Natural Computing Series, 2001.

H. Beyer, The Theory of Evolutions Strategies, 2001.
DOI : 10.1007/978-3-662-04378-3

H. Beyer and B. Sendhoff, Covariance Matrix Adaptation Revisited ??? The CMSA Evolution Strategy ???, Proceedings of PPSN, pp.123-132, 2008.
DOI : 10.1007/978-3-540-87700-4_13

Y. Cai, X. Sun, H. Xu, and P. Jia, Cross entropy and adaptive variance scaling in continuous EDA, Proceedings of the 9th annual conference on Genetic and evolutionary computation , GECCO '07, pp.609-616, 2007.
DOI : 10.1145/1276958.1277081

W. Donga and X. Yao, Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms, Information Sciences, vol.178, issue.15, pp.3000-3023, 2008.
DOI : 10.1016/j.ins.2008.01.021

J. Grahl, P. A. Bosman, and F. Rothlauf, The correlation-triggered adaptive variance scaling IDEA, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.397-404, 2006.
DOI : 10.1145/1143997.1144071

N. Hansen, Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie Eine Untersuchung zur entstochastisierten,koordinatensystemunabhängigen Adaptation der Mutationsverteilung, 1998.

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

G. R. Harik, F. G. Lobo, and D. E. Goldberg, The compact genetic algorithm, IEEE Transactions on Evolutionary Computation, vol.3, issue.4, p.287, 1999.
DOI : 10.1109/4235.797971

P. Larranaga and J. A. Lozano, Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, 2001.

J. Liu and H. Teng, Model Learning and Variance Control in Continuous EDAs Using PCA, 2008 3rd International Conference on Innovative Computing Information and Control, p.555, 2008.
DOI : 10.1109/ICICIC.2008.365

H. Mühlenbein and R. Höns, The Estimation of Distributions and the Minimum Relative Entropy Principle, Evolutionary Computation, vol.13, issue.1, pp.1-27, 2005.
DOI : 10.1023/A:1007324100110

H. Mühlenbein and T. Mahnig, Evolutionary computation and Wright's equation, Theoretical Computer Science, vol.287, issue.1, pp.145-165, 2002.
DOI : 10.1016/S0304-3975(02)00098-1

P. Posík, Preventing premature convergence in a simple eda via global step size setting, pp.549-558

I. Rechenberg, Evolutionstrategie: Optimierung Technischer Systeme nach Prinzipien des Biologischen Evolution, 1973.

R. Ros and N. Hansen, A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity, pp.296-305
DOI : 10.1007/978-3-540-87700-4_30
URL : https://hal.archives-ouvertes.fr/inria-00287367

H. Schwefel, Adaptive Mechanismen in der biologischen Evolution und ihr Einfluss auf die Evolutionsgeschwindigkeit. Interner Bericht der Arbeitsgruppe Bionik und Evolutionstechnik am Institut für Mess-und Regelungstechnik Re 215, 1974.

J. L. Shapiro, Drift and Scaling in Estimation of Distribution Algorithms, Evolutionary Computation, vol.12, issue.4, 2005.
DOI : 10.1016/S0167-2789(96)00163-7

O. Teytaud and H. Fournier, Lower bounds for evolution strategies using vcdimension, pp.102-111
URL : https://hal.archives-ouvertes.fr/inria-00287845