H. Beyer and B. Sendhoff, Robust optimization a comprehensive survey, Computer Methods in Applied Mechanics and Engineering, vol.196, issue.3334, pp.3190-3218, 2007.

A. Gaspar-cunha and J. A. Covas, Robustness in multiobjective optimization using evolutionary algorithms, Computational Optimization and Applications, vol.39, issue.1, pp.75-96, 2008.

E. Montero and M. Riff, Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners, pp.90-99, 2014.

A. Menchaca-mendez, E. Montero, M. Riff, and C. A. Coello, A More Efficient Selection Scheme in iSMS-EMOA, pp.371-380, 2014.

M. Pescador-rojas, R. Gómez, E. Montero, N. Rojasmorales, M. Riff et al., An Overview of Weighted and Unconstrained Scalarizing Functions, pp.499-513, 2017.

A. Eiben and S. Smit, Parameter tuning for configuring and analyzing evolutionary algorithms, Swarm and Evolutionary Computation, vol.1, issue.1, pp.19-31, 2011.

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

E. Zitzler and L. Thiele, Multiobjective Optimization Using Evolutionary Algorithms-A Comparative Study," in Parallel Problem Solving from Nature V, pp.292-301, 1998.

C. A. Coello and N. Cortés, Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, vol.6, pp.163-190, 2005.

M. P. Hansen and A. Jaszkiewicz, Evaluating the quality of approximations to the non-dominated set, 1998.

S. K. Smit and A. E. Eiben, Parameter tuning of evolutionary algorithms: Generalist vs. specialist, Applications of Evolutionary Computation, pp.542-551, 2010.

D. H. Wolpert and W. G. Macready, No free lunch theorems for optimization, IEEE Transactions on Evolutionary Computation, vol.1, issue.1, pp.67-82, 1997.

B. T. , L. C. , and P. M. , Sequential parameter optimization, IEEE Congress on Evolutionary Computation, vol.1, pp.773-780, 2005.

H. Frank, H. H. , and S. Thomas, Automatic algorithm configuration based on local search, Proceedings of the 22Nd National Conference on Artificial Intelligence, vol.2, pp.1152-1157, 2007.

F. Hutter, H. H. Hoos, K. Leyton-brown, and T. Stützle, Paramils: An automatic algorithm configuration framework, J. Artif. Int. Res, vol.36, issue.1, pp.267-306, 2009.

H. H. Hoos, Automated Algorithm Configuration and Parameter Tuning, pp.37-71, 2012.

V. Nannen and A. E. Eiben, Relevance estimation and value calibration of evolutionary algorithm parameters, Proceedings of the 20th International Joint Conference on Artifical Intelligence, ser. IJCAI'07, pp.975-980, 2007.

M. López-ibáez, J. Dubois-lacoste, L. P. Cáceres, M. Birattari, and T. Stützle, The irace package: Iterated racing for automatic algorithm configuration, Operations Research Perspectives, vol.3, pp.43-58, 2016.

M. C. Riff and E. Montero, A New Algorithm for Reducing Metaheuristic Design Effort, 2013 IEEE Congress on Evolutionary Computation, pp.3283-3290, 2013.

B. L. Gorissen and D. Yankolu, A practical guide to robust optimization, Omega, vol.53, pp.124-137, 2015.

Q. Zhang and H. Li, MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Transactions on Evolutionary Computation, vol.11, issue.6, pp.712-731, 2007.

V. B. , On the relationship of the tchebycheff norm and the efficient frontier of multiple-criteria objectives, Multiple Criteria Decision Making: Proceedings of a Conference, vol.130, pp.76-86, 1973.

A. P. Wierzbicki, The Use of Reference Objectives in Multiobjective Optimization, Multiple Criteria Decision Making Theory and Application: Proceedings of the Third Conference, pp.468-486, 1980.

K. Miettinen, Nonlinear Multiobjective Optimization, International Series in Operations Research & Management Science, vol.12, 1998.

T. W. Athan and P. Y. Papalambros, A Note on Weighted Criteria Methods for Compromise Solutions in Multi-objective Optimization, Engineering Optimization, vol.27, issue.2, pp.155-176, 1996.

E. J. Hughes, Multiple Single Objective Pareto Sampling, Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), vol.4, pp.2678-2684, 2003.
DOI : 10.1109/cec.2003.1299427

C. C. Tutum and K. Deb, A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results," in Evolutionary Multi-Criterion Optimization, 8th International Conference, Lecture Notes in Computer Science, vol.9018, pp.3-18, 2015.

A. B. Ruiz, R. Saborido, and M. Luque, A Preference-based Evolutionary Algorithm for Multiobjective Optimization: The Weighting Achievement Scalarizing Function Genetic Algorithm, J. of Global Optimization, vol.62, issue.1, pp.101-129, 2015.

R. Marler and J. Arora, Survey of Multi-objective Optimization Methods for Engineering, Structural and Multidisciplinary Optimization, vol.26, pp.369-395, 2004.

G. Carpinelli, P. Caramia, F. Mottola, and D. Proto, Exponential Weighted Method and a Compromise Programming Method for Multiobjective Operation of plug-in Vehicle Aggregators in Microgrids, International Journal of Electrical Power & Energy Systems, vol.56, pp.374-384, 2014.

H. Sato, Inverted PBI in MOEA/D and its Impact on the Search Performance on Multi and Many-Objective Optimization, 2014 Genetic and Evolutionary Computation Conference, 2014.

C. Vancouver, , pp.978-979, 2014.

, Analysis of inverted pbi and comparison with other scalarizing functions in decomposition based moeas, Journal of Heuristics, vol.21, issue.6, pp.819-849, 2015.

H. Ishibuchi, K. Doi, H. Masuda, and Y. Nojima, Relation between weight vectors and solutions in moea/d, 2015 IEEE Symposium Series on Computational Intelligence, pp.861-868, 2015.

S. Huband, P. Hingston, L. Barone, and L. While, A Review of Multiobjective Test Problems and a Scalable Test Problem Toolkit, IEEE Transactions on Evolutionary Computation, vol.10, issue.5, pp.477-506, 2006.

M. T. Emmerich and A. H. Deutz, Test Problems Based on Lamé Superspheres, Evolutionary Multi-Criterion Optimization, 4th International Conference, vol.4033, pp.922-936, 2007.
DOI : 10.1007/978-3-540-70928-2_68

E. Zitzler, Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications, 1999.

D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.