S. Au and J. Beck, Estimation of small failure probabilities in high dimensions by subset simulation, Probabilistic Engineering Mechanics, vol.16, issue.4, pp.263-277, 2001.
DOI : 10.1016/S0266-8920(01)00019-4

R. Benassi, J. Bect, and E. Vazquez, Bayesian optimization using sequential Monte Carlo In Learning and Intelligent Optimization, 6th International Conference, pp.339-342, 2012.

F. Cérou, P. Del-moral, T. Furon, and A. Guyader, Sequential Monte Carlo for rare event estimation, Statistics and Computing, vol.22, issue.4, pp.795-808, 2012.
DOI : 10.1007/s11222-011-9231-6

M. Emmerich, K. C. Giannakoglou, and B. Naujoks, Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels, IEEE Transactions on Evolutionary Computation, vol.10, issue.4, pp.421-439, 2006.
DOI : 10.1109/TEVC.2005.859463

C. M. Fonseca and P. J. Fleming, Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.28, issue.1, pp.26-37, 1998.
DOI : 10.1109/3468.650319

T. J. Santner, B. J. Williams, and W. Notz, The design and analysis of computer experiments, 2003.
DOI : 10.1007/978-1-4757-3799-8

C. K. Williams and C. Rasmussen, Gaussian processes for machine learning, p.4, 2006.