V. Artus, L. Durlofsky, J. Onwunalu, and K. Aziz, Optimization of nonconventional wells under uncertainty using statistical proxies, Computational Geosciences, vol.10, issue.4, pp.389-404, 2006.
DOI : 10.1007/s10596-006-9031-9

Z. Bouzarkouna, A. Auger, and D. Ding, Investigating the Local-Meta-Model CMA-ES for Large Population Sizes, Proceedings of the 3rd European event on Bioinspired algorithms for continuous parameter optimisation EvoNUM 2010, pp.402-411, 2010.
DOI : 10.1007/978-3-642-12239-2_42
URL : https://hal.archives-ouvertes.fr/hal-00450238

D. Ding, Optimization of well placement using evolutionary algorithms, 2008.

A. Emerick, E. Silva, B. Messer, L. Almeida, D. Szwarcman et al., Well placement optimization using a genetic algorithm with nonlinear constraints. SPE reservoir simulation symposium, 2009.

B. Guyaguler and R. Horne, Optimization of Well Placement, Journal of Energy Resources Technology, vol.122, issue.2, pp.64-70, 2000.
DOI : 10.1115/1.483164

B. Guyaguler and R. Horne, Uncertainty assessment of well placement optimization, SPE annual technical conference and exhibition, 2001.

B. Guyaguler, R. Horne, L. Rogers, and J. Rosenzweig, Optimization of well placement in a Gulf of Mexico waterflooding project, SPE annual technical conference and exhibition, 2000.

M. Handels, M. Zandvliet, D. Brouwer, and J. Jansen, Adjoint-based well-placement optimization under production constraints. SPE reservoir simulation symposium, 2007.

N. Hansen, A. Auger, R. Ros, S. Finck, and P. Posik, Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009, Proceedings of the 12th annual conference comp on Genetic and evolutionary computation, GECCO '10, 2010.
DOI : 10.1145/1830761.1830790
URL : https://hal.archives-ouvertes.fr/hal-00545727

N. Hansen and S. Kern, Evaluating the CMA Evolution Strategy on Multimodal Test Functions, Proceedings of the 8th International Conference on Parallel Problem Solving from Nature PPSN VIII, pp.282-291, 2004.
DOI : 10.1007/978-3-540-30217-9_29

N. Hansen and A. Ostermeier, Completely derandomized selfadaptation in evolution strategies, Evolutionary Computation, vol.1, pp.159-195, 2001.

N. Hansen, A. Niederberger, L. Guzzella, and P. Koumoutsakos, A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion, IEEE Transactions on Evolutionary Computation, vol.13, issue.1, pp.180-197, 2009.
DOI : 10.1109/TEVC.2008.924423
URL : https://hal.archives-ouvertes.fr/inria-00276216

S. Kern, N. Hansen, and P. Koumoutsakos, Local Meta-models for Optimization Using Evolution Strategies, Proceedings of the 10th International Conference on Parallel Problem Solving from Nature PPSN X, pp.939-948, 2006.
DOI : 10.1007/11844297_95

Z. Michalewicz and G. Nazhiyath, Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints, Proceedings of 1995 IEEE International Conference on Evolutionary Computation, pp.647-651, 1995.
DOI : 10.1109/ICEC.1995.487460

Z. Michalewicz, D. Dasgupta, R. L. Riche, and M. Schoenauer, Evolutionary algorithms for constrained engineering problems, Computers & Industrial Engineering, vol.30, issue.4, pp.851-870, 1996.
DOI : 10.1016/0360-8352(96)00037-X

G. Montes, P. Bartolome, and A. Udias, The Use of Genetic Algorithms in Well Placement Optimization, SPE Latin American and Caribbean Petroleum Engineering Conference, 2001.
DOI : 10.2118/69439-MS

P. Sarma and W. Chen, Efficient well placement optimization with gradient-based algorithms and adjoint models. SPE intelligent energy conference and exhibition, 2008.

B. Yeten, Optimum Deployment of Nonconventional Wells, 2003.

B. Yeten, L. Durlofsky, and K. Aziz, Optimization of Nonconventional Well Type, Location, and Trajectory, SPE Journal, vol.8, issue.03, pp.200-210, 2003.
DOI : 10.2118/86880-PA