K. Deb and H. Jain, An evolutionary many-objective optimization algorithm using referencepoint-based nondominated sorting approach, part I: Solving problems with box constraints, IEEE Trans. Evol. Comput, vol.18, issue.4, pp.577-601, 2014.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput, vol.6, issue.2, pp.182-197, 2002.

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

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm, 5th International Conference on Evolutionary Multi-Criterion Optimization (EMO2009), vol.5467, pp.438-452, 2009.

A. L. Jaimes, A. A. Montaño, and C. A. Coello, Preference incorporation to solve manyobjective airfoil design problems, IEEE Congress of Evolutionary Computation (CEC2011), pp.1605-1612, 2011.
DOI : 10.1109/cec.2011.5949807

K. Deb, A. Sinha, P. Korhonen, and J. Wallenius, An Interactive Evolutionary Multi-Objective Optimization Method Based on Progressively Approximated Value Functions, IEEE Trans. Evol. Comput, vol.14, issue.5, pp.723-739, 2010.

S. Mnasri, N. Nasri, and T. Val, An Overview of the deployment paradigms in the Wireless Sensor Networks, Proceedings International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks, 2014.

K. Li, K. Deb, Q. Zhang, and S. Kwong, An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition, IEEE Trans. Evol. Comput, vol.19, issue.5, pp.694-716, 2015.