T. Jarmo and . Alander, An indexed bibliography of genetic algorithms: Years 1957-1993, 1994.

A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing, pp.3-540, 2003.

D. Goldberg, Genetic Algorithms, 1989.

E. Hansen, AN OVERVIEW OF GLOBAL OPTIMIZATION USING INTERVAL ANALYSIS, 1992.
DOI : 10.1016/B978-0-12-505630-4.50021-3

N. Hansen and S. Kern, Evaluating the CMA Evolution Strategy on Multimodal Test Functions, Proceedings of the 8th International Conference on Parallel Problem Solving from Nature, pp.282-291, 2004.
DOI : 10.1007/978-3-540-30217-9_29

J. Holland, Adaptation in Natural and Artificial Systems, 1975.

L. Idoumghar, M. Melkemi, and R. Schott, A novel hybrid evolutionary algorithm for multi-modal function optimization and engineering applications, Proceedings of the 13th IASTED International Conference on Artificial Intelligence and Soft Computing, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00431693

L. Jourdan, M. Basseur, and E. Talbi, Hybridizing exact methods and metaheuristics: A taxonomy, European Journal of Operational Research, vol.199, issue.3, 2009.
DOI : 10.1016/j.ejor.2007.07.035

URL : https://hal.archives-ouvertes.fr/inria-00484922

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

M. Locatelli, A note on the Griewank test function, Journal of Global Optimization, vol.25, issue.2, pp.169-174, 2003.
DOI : 10.1023/A:1021956306041

Z. Michalewicz, Genetic algorithms+data structures=evolution programs, 1992.

R. E. Moore, Interval Analysis, NJ, 1966.

R. E. Moore and F. Bierbaum, Methods and applications of interval analysis, SIAM, 1979.

H. Pohlheim, Example of objective functions, documentation of the Matlab Genetic and evolutionary algorithm toolbox, MATLAB, 2005.

J. Puchinger and G. R. , Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification, Proceedings of the International Work-conference on the Interplay between Natural and Artificial Computation. IWINAC, 2005.
DOI : 10.1007/11499305_5

URL : https://hal.archives-ouvertes.fr/hal-01299565

N. Revol and F. Rouillier, Motivations for an arbitrary precision interval arithmetic and the MPFI library', Reliable computing, pp.275-290, 2005.

D. G. Sotiropoulos, E. C. Stravopoulos, and M. N. Vrahatis, A new hybrid genetic algorithm for global optimization, Proceedings of the 2nd World Congress of Nonlinear Analysis, 1997.
DOI : 10.1016/S0362-546X(96)00367-7

P. N. Suganthan, N. Hansen, J. J. Liang, K. Deb, Y. P. Chen et al., Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization, 2005.

X. Yin and N. Germay, A Fast Genetic Algorithm with Sharing Scheme Using Cluster Analysis Methods in Multimodal Function Optimization, Proceedings of the Artificial Neural Nets and Genetic Algorithm International Conference, Insbruck Austria, 1993.
DOI : 10.1007/978-3-7091-7533-0_65

X. Zhang and S. Liu, A New Interval-Genetic Algorithm, Third International Conference on Natural Computation (ICNC 2007), 2007.
DOI : 10.1109/ICNC.2007.95