D. V. Arnold and R. Salomon, Evolutionary Gradient Search Revisited, IEEE Transactions on Evolutionary Computation, vol.11, issue.4, pp.480-495, 2007.
DOI : 10.1109/TEVC.2006.882427

D. V. Arnold and D. C. Van-wart, Cumulative Step Length Adaptation for Evolution Strategies Using Negative Recombination Weights, LNCS, vol.4974, pp.545-554, 2008.
DOI : 10.1007/978-3-540-78761-7_60

A. Auger, D. Brockhoff, and N. Hansen, Mirrored sampling and sequential selection for evolution strategies, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00530202

A. Auger and N. Hansen, Reconsidering the progress rate theory for evolution strategies in finite dimensions, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.445-452, 2006.
DOI : 10.1145/1143997.1144081

A. Auger and N. Hansen, Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed, Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, GECCO '09, pp.2467-2472, 2009.
DOI : 10.1145/1570256.1570345

URL : https://hal.archives-ouvertes.fr/inria-00430518

N. Hansen, An Analysis of Mutative ??-Self-Adaptation on Linear Fitness Functions, Evolutionary Computation, vol.14, issue.3, pp.255-275, 2006.
DOI : 10.1109/4235.771163

N. Hansen, J. Lozano, P. Larranaga, I. Inza, and E. Bengoetxea, The CMA evolution strategy: a comparing review Towards a new evolutionary computation Advances on estimation of distribution algorithms, pp.75-102, 2006.

N. Hansen, S. Finck, R. Ros, and A. Auger, Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions, INRIA, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00362633

N. Hansen, S. Finck, R. Ros, and A. Auger, Real-parameter black-box optimization benchmarking 2009: Noisy functions definitions, INRIA, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00369466

C. Igel, T. Suttorp, and N. Hansen, A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.453-460, 2006.
DOI : 10.1145/1143997.1144082

O. Teytaud, S. Gelly, and J. Mary, On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy, Conference on Parallel Problem Solving from Nature (PPSN IX), pp.32-41, 2006.
DOI : 10.1007/11844297_4

URL : https://hal.archives-ouvertes.fr/inria-00112816