A. A-u-g-e-r, J. B-a-d-e-r, and D. , B r o c k h o ff ,a n dE .Z i t z l e r . Theory of the Hypervolume Indicator: Optimal µ-Distributions and the Choice of the Reference Point, Foundations of Genetic Algorithms, pp.87-102, 2009.

A. A-u-g-e-r, J. B-a-d-e-r, and D. , B r o c k h o ff ,a n dE .Z i t z l e r . Hypervolume-based Multiobjective Optimization: Theoretical Foundations and Practical Implications, Theoretical Computer Science, vol.425, pp.75-103, 2012.

N. B-e-u-m-e and C. M. , F o n s e c a ,M .L o p e z -I b a n e z , L. Paquete, and J. Vahrenhold. On the Complexity of Computing the Hypervolume Indicator, IEEE Transactions on Evolutionary Computation, vol.13, issue.5, pp.1075-1082, 2009.

N. B-e-u-m-e and B. , N a u j o k s ,a n dM .E m m e r i c h . SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, vol.181, issue.3, pp.1653-1669, 2007.

K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, Scalable multi-objective optimization test problems, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), pp.825-830, 2002.
DOI : 10.1109/CEC.2002.1007032

M. P. Hansen and A. Jaszkiewicz, Evaluating The Quality of Approximations of the Non-Dominated Set, 1998.

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

G. W. Snedecor and W. G. Cochran, Statistical Methods, 1989.

S. Wessing, Towards Optimal Parameterizations of the S-Metric Selection Evolutionary Multi-Objective Algorithm, 2009.

S. Wessing and B. Naujoks, Sequential parameter optimization for multi-objective problems, IEEE Congress on Evolutionary Computation, pp.1-8, 2010.
DOI : 10.1109/CEC.2010.5586529

E. Zitzler, Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications.P h Dt h e s i s, 1999.

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, J. Knowles, and L. Thiele, Quality Assessment of Pareto Set Approximations, Multiobjective Optimization: Interactive and Evolutionary Approaches, pp.373-404, 2008.
DOI : 10.1007/978-3-540-88908-3_14

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, M. Laumanns, C. M. Fonseca, V. Grunert et al., Performance assessment of multiobjective optimizers: an analysis and review, IEEE Transactions on Evolutionary Computation, vol.7, issue.2, pp.117-132, 2003.
DOI : 10.1109/TEVC.2003.810758