A. Banks, J. Vincent, and C. Anyakoha, A review of particle swarm optimization. Part I: background and development, Natural Computing, vol.1, issue.1, pp.467-484, 2007.
DOI : 10.1007/s11047-007-9049-5

S. Das and P. Suganthan, Differential Evolution: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, vol.15, issue.1, pp.4-31, 2011.
DOI : 10.1109/TEVC.2010.2059031

M. Dorigo and T. Stützle, Ant Colony Optimization, 2004.

J. J. Durillo, A. J. Nebro, F. Luna, B. Dorronsoro, and E. Alba, jMetal: A Java Framework for Developing Multi-Objective Optimization Metaheuristics, 2006.

F. Glover, M. Laguna, and M. Rafael, Scatter Search, Advances in Evolutionary Computation: Theory and Applications, pp.519-537, 2003.
DOI : 10.1007/978-3-642-18965-4_20

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

S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, Optimization by Simulated Annealing, Science, vol.220, issue.4598, pp.671-680, 1983.
DOI : 10.1126/science.220.4598.671

P. Krömer, V. Snå?el, J. Plato?, and A. Abraham, A comparison of many-threaded differential evolution and genetic algorithms on CUDA, 2011 Third World Congress on Nature and Biologically Inspired Computing, pp.509-514, 2011.
DOI : 10.1109/NaBIC.2011.6089641

N. Melab, T. Luong, K. Boufaras, and E. Talbi, Towards ParadisEO-MO-GPU: A Framework for GPU-Based Local Search Metaheuristics, Advances in Computational Intelligence, pp.401-408, 2011.
DOI : 10.1007/978-3-642-21501-8_50

URL : https://hal.archives-ouvertes.fr/inria-00638809

L. Mussi, F. Daolio, and S. Cagnoni, Evaluation of parallel particle swarm optimization algorithms within the CUDA??? architecture, Information Sciences, vol.181, issue.20, pp.4642-4657, 2011.
DOI : 10.1016/j.ins.2010.08.045

G. Pampara, A. Engelbrecht, and T. Cloete, CIlib: A collaborative framework for Computational Intelligence algorithms - Part I, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), pp.1750-1757, 2008.
DOI : 10.1109/IJCNN.2008.4634035

R. Poli, Analysis of the Publications on the Applications of Particle Swarm Optimisation, Journal of Artificial Evolution and Applications, vol.15, issue.4, pp.1-10, 2008.
DOI : 10.1109/TPWRS.2005.846064

F. J. Solis and R. J. Wets, Minimization by Random Search Techniques, Mathematics of Operations Research, vol.6, issue.1, pp.19-30, 1981.
DOI : 10.1287/moor.6.1.19

R. Storn and K. Price, Differential Evolution-A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, 1995.

R. Ugolotti, P. Mesejo, S. Cagnoni, M. Giacobini, and F. D. Cunto, Automatic hippocampus localization in histological images using PSO-based deformable models, Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, GECCO '11, 2011.
DOI : 10.1145/2001858.2002038

URL : https://hal.archives-ouvertes.fr/hal-01221664

S. Ventura, C. Romero, A. Zafra, J. Delgado, and C. Hervás-martínez, JCLEC: a Java framework for evolutionary computation, Soft Computing, vol.6, issue.4, pp.381-392, 2008.
DOI : 10.1007/s00500-007-0172-0

S. Wagner, Heuristic Optimization Software Systems - Modeling of Heuristic Optimization Algorithms in the HeuristicLab Software Environment Institute for Formal Models and Verification, 2009.