D. Bertsimas, G. Lulli, and A. R. Odoni, An Integer Optimization Approach to Large-Scale Air Traffic Flow Management, Operations Research, vol.59, issue.1, pp.211-227, 2011.
DOI : 10.1287/opre.1100.0899

G. Clare and A. Richards, Air Traffic Flow Management Under Uncertainty: Application of Chance Constraints Application and Theory of Automation in Command and Control Systems, ser. ATACCS '12, Proceedings of the 2 nd International Conference on, pp.20-26, 2012.

P. Flener, J. Pearson, M. Ågren, C. Garcia-avello, M. Celiktin et al., Air-Traffic Complexity Resolution in Multi-Sector Planning using Constraint Programming, 2007.

D. Delahaye, S. Oussedik, and S. Puechmorel, Airspace Congestion Smoothing by Multi-Objective Genetic Algorithm, Proceedings of the 2005 ACM symposium on Applied computing, ser. SAC '05, pp.907-912, 2005.
URL : https://hal.archives-ouvertes.fr/hal-01004145

J. , L. Ny, and H. Balakrishnan, Feedback control of the national airspace system to mitigate weather disruptions, Decision and Control (CDC) 49th IEEE Conference on, pp.2055-2062, 2010.

E. P. Gilbo and S. B. Smith, New method for probabilistic traffic demand predictions for en route sectors based on uncertain predictions of individual flight events, Ninth USA/Europe Air Traffic Management Research and Development Seminar (ATM2011), 2011.

Y. H. Wang, On the number of successes in independent trials, Statistica Sinica, vol.3, pp.295-312, 1993.

Y. Hong, On Computing the Distribution Function for the Sum of Independent and Non-identical Random Indicators, 2011.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2000.
DOI : 10.1109/4235.996017

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.7771

M. Frigo, G. Steven, and . Johnson, The Design and Implementation of FFTW3, Proceedings of the IEEE, pp.216-231, 2005.
DOI : 10.1109/JPROC.2004.840301

J. Knowles, L. Thiele, and E. Zitzler, A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers, Swiss Federal Institute of Technology (ETH) Zurich, 2005.

C. Igel, N. Hansen, and S. Roth, Covariance Matrix Adaptation for Multi-objective Optimization, Evolutionary Computation, vol.15, issue.1, pp.1-28, 2007.
DOI : 10.1109/TEVC.2003.810758

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.4052