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

S. Kern, S. Müller, N. Hansen, D. Büche, J. Ocenasek et al., Learning probability distributions in continuous evolutionary algorithms ??? a comparative review, Natural Computing, vol.3, issue.1, pp.77-112, 2004.
DOI : 10.1023/B:NACO.0000023416.59689.4e

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

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

A. Bienvenüe and O. François, Global convergence for evolution strategies in spherical problems: some simple proofs and difficulties, Theoretical Computer Science, vol.306, issue.1-3, pp.269-289, 2003.
DOI : 10.1016/S0304-3975(03)00284-6

A. Auger, Convergence results for the <mml:math altimg="si1.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mi>??</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math>-SA-ES using the theory of <mml:math altimg="si2.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:mi>??</mml:mi></mml:math>-irreducible Markov chains, Theoretical Computer Science, vol.334, issue.1-3, pp.35-69, 2005.
DOI : 10.1016/j.tcs.2004.11.017

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

O. Teytaud, S. Gelly, and S. , General Lower Bounds for Evolutionary Algorithms, Ninth International Conference on Parallel Problem Solving from Nature PPSN IX2006), pp.21-31, 2006.
DOI : 10.1007/11844297_3

URL : https://hal.archives-ouvertes.fr/inria-00112820

J. Jägersküpper, Lower bounds for hit-and-run direct search, Proceedings of Stochastic Algorithms: Foundations and Applications, pp.118-129, 2007.

M. Lò-eve, Probability Theory, 1963.