D. V. Arnold, Weighted multirecombination evolution strategies, Theoretical Computer Science, vol.361, issue.1, pp.18-37, 2006.
DOI : 10.1016/j.tcs.2006.04.003

URL : http://doi.org/10.1016/j.tcs.2006.04.003

D. V. Arnold, D. C. Wart, M. Giacobini, A. Brabazon, S. Cagnoni et al., Cumulative Step Length Adaptation for Evolution Strategies Using Negative Recombination Weights, Lecture Notes in Computer Science, vol.4974, pp.545-554, 2008.
DOI : 10.1007/978-3-540-78761-7_60

W. Dong 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

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

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

P. L. Ecuyer and C. Lemieux, Recent Advances in Randomized Quasi-Monte Carlo Methods, pp.419-474, 2002.

H. Niederreiter, Random Number Generation and Quasi-Monte Carlo Methods, 1992.
DOI : 10.1137/1.9781611970081

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

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.

F. Teytaud and O. Teytaud, Eda are fast when lambda is large, Proceedings of EvoStar 2009, p.page accepted, 2009.

F. Teytaud and O. Teytaud, Why one must use reweighting in estimation of distribution algorithms, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, 2009.
DOI : 10.1145/1569901.1569964

URL : https://hal.archives-ouvertes.fr/inria-00369780

O. Teytaud, When Does Quasi-random Work?, PPSN, pp.325-336, 2008.
DOI : 10.1007/978-3-540-87700-4_33

URL : https://hal.archives-ouvertes.fr/inria-00287863

O. Teytaud and H. Fournier, Lower Bounds for Evolution Strategies Using VC-Dimension, Lecture Notes in Computer Science, vol.5199, pp.102-111, 2008.
DOI : 10.1007/978-3-540-87700-4_11

URL : https://hal.archives-ouvertes.fr/inria-00287845

O. Teytaud and S. Gelly, DCMA, Proceedings of the 9th annual conference on Genetic and evolutionary computation , GECCO '07, pp.955-963, 2007.
DOI : 10.1145/1276958.1277150

URL : https://hal.archives-ouvertes.fr/inria-00173207