A. Auger, J. Bader, D. Brockhoff, and E. Zitzler, Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, 2009.
DOI : 10.1145/1569901.1569980

URL : https://hal.archives-ouvertes.fr/hal-00431274

A. Auger, J. Bader, D. Brockhoff, and E. Zitzler, Theory of the hypervolume indicator, Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, FOGA '09, 2009.
DOI : 10.1145/1527125.1527138

URL : https://hal.archives-ouvertes.fr/inria-00430540

J. Bader and E. Zitzler, HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization, Evolutionary Computation, vol.19, issue.1, 2008.
DOI : 10.1109/TEVC.2003.810758

N. Beume, B. Naujoks, and M. Emmerich, SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, vol.181, issue.3, pp.1653-1669, 2007.
DOI : 10.1016/j.ejor.2006.08.008

J. Branke, T. Kaußler, and H. Schmeck, Guidance in Evolutionary Multi-Objective Optimization Advances in Engineering Software, pp.499-507, 2001.

K. Bringmann and T. Friedrich, Approximating the Volume of Unions and Intersections of High-Dimensional Geometric Objects, International Symposium on Algorithms and Computation, pp.436-447, 2008.

R. E. Caflisch, Monte Carlo and quasi-Monte Carlo methods, Acta Numerica, vol.73, pp.1-49, 1998.
DOI : 10.1137/S0036142994277468

W. J. Conover, Practical Nonparametric Statistics, 1999.

K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, 2001.

K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, Conference on Parallel Problem Solving from Nature (PPSN VI), pp.849-858, 1917.
DOI : 10.1007/3-540-45356-3_83

K. Deb, J. Sundar, U. B. Rao, N. , and S. Chaudhuri, Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, Int. Journal of Computational Intelligence Research, vol.2, issue.3, pp.273-286, 2006.

K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, Scalable Test Problems for Evolutionary Multi-Objective Optimization, Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, pp.105-145, 2005.

L. Devroye, Non-Uniform Random Variate Generation, 1986.
DOI : 10.1007/978-1-4613-8643-8

R. Everson, J. Fieldsend, and S. Singh, Full Elite-Sets for Multiobjective Optimisation, Conference on adaptive computing in design and manufacture, pp.343-354, 2002.

M. Fleischer, The Measure of Pareto Optima Applications to Multi-objective Metaheuristics, Conference on Evolutionary Multi-Criterion Optimization, pp.519-533, 2003.
DOI : 10.1007/3-540-36970-8_37

W. Hoeffding, Probability Inequalities for Sums of Bounded Random Variables, Journal of the American Statistical Association, vol.1, issue.301, pp.13-30, 1963.
DOI : 10.1214/aoms/1177730491

S. Huband, P. Hingston, L. White, and L. Barone, An evolution strategy with probabilistic mutation for multi-objective optimisation, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.2284-2291, 2003.
DOI : 10.1109/CEC.2003.1299373

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

M. Laumanns, G. Rudolph, and H. Schwefel, Approximating the Pareto Set: Concepts, Diversity Issues, and Performance Assessment, 1999.

M. Nicolini, A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems, Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), pp.736-751, 2005.
DOI : 10.1007/978-3-540-31880-4_51

L. Rachmawati and D. Srinivasan, Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey, 2006 IEEE International Conference on Evolutionary Computation, pp.962-968, 2006.
DOI : 10.1109/CEC.2006.1688414

E. Zitzler, D. Brockhoff, and L. Thiele, The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration, Conference on Evolutionary Multi-Criterion Optimization, pp.862-876, 2007.
DOI : 10.1007/978-3-540-70928-2_64

E. Zitzler, K. Deb, and L. Thiele, Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Evolutionary Computation, vol.8, issue.2, pp.173-195, 2000.
DOI : 10.1109/4235.797969

E. Zitzler and S. Künzli, Indicator-Based Selection in Multiobjective Search, Conference on Parallel Problem Solving from Nature (PPSN VIII), pp.832-842, 2004.
DOI : 10.1007/978-3-540-30217-9_84

E. Zitzler and L. Thiele, Multiobjective optimization using evolutionary algorithms ??? A comparative case study, Conference on Parallel Problem Solving from Nature (PPSN V), pp.292-301, 1998.
DOI : 10.1007/BFb0056872

E. Zitzler, L. Thiele, and J. Bader, SPAM: Set Preference Algorithm for Multiobjective Optimization, Conference on Parallel Problem Solving From Nature (PPSN X), pp.847-858, 2008.
DOI : 10.1007/978-3-540-87700-4_84