A. Auger, J. Bader, D. Brockhoff, and E. Zitzler, Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications, Theoretical Computer Science, vol.425, pp.75-103, 2012.
DOI : 10.1016/j.tcs.2011.03.012

URL : https://hal.archives-ouvertes.fr/inria-00638989

C. A. Coello, D. A. Van-veldhuizen, L. , and G. B. , Evolutionary algorithms for solving multiobjective problems, 2002.

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, 2002.
DOI : 10.1109/4235.996017

J. J. Durillo and A. J. Nebro, jMetal: A Java framework for multi-objective optimization, Advances in Engineering Software, vol.42, issue.10, pp.42760-771, 2011.
DOI : 10.1016/j.advengsoft.2011.05.014

D. Elkateb, F. Fouquet, J. Bourcier, L. Traon, and Y. , Optimizing multi-objective evolutionary algorithms to enable quality-aware software provisioning, 14th International Conference on Quality Software

F. Fouquet, G. Nain, B. Morin, E. Daubert, O. Barais et al., An Eclipse Modelling Framework Alternative to Meet the Models@Runtime Requirements, Model Driven Engineering Languages and Systems, pp.87-101, 2012.
DOI : 10.1007/978-3-642-33666-9_7

URL : https://hal.archives-ouvertes.fr/hal-00714558

F. Fouquet, G. Nain, B. Morin, E. Daubert, O. Barais et al., Kevoree modeling framework (kmf): Efficient modeling techniques for runtime use, 1405.
URL : https://hal.archives-ouvertes.fr/hal-00996764

S. Frey, F. Fittkau, and W. Hasselbring, Search-based genetic optimization for deployment and reconfiguration of software in the cloud, 2013 35th International Conference on Software Engineering (ICSE)
DOI : 10.1109/ICSE.2013.6606597

J. Kennedy and R. Eberhart, Particle swarm optimization, Proceedings of ICNN'95, International Conference on Neural Networks, pp.1942-1948, 1995.
DOI : 10.1109/ICNN.1995.488968

A. Konak, D. W. Coit, and A. E. Smith, Multiobjective optimization using genetic algorithms: A tutorial, 2006.

S. Pandey, L. Wu, S. M. Guru, and R. Buyya, A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments, 2010 24th IEEE International Conference on Advanced Information Networking and Applications, pp.400-407, 2010.
DOI : 10.1109/AINA.2010.31

J. D. Schaffer, Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of the 1st international Conference on Genetic Algorithms, pp.93-100, 1985.

J. R. Williams and S. Poulding, Generating models using metaheuristic search, 2011.

Y. Yuan, H. Xu, W. , and B. , An improved nsgaiii procedure for evolutionary many-objective optimization, Proceedings of the 2014 Conference on Genetic and Evolutionary Computation, p.14, 2014.