A. Institute-for-brain and . Science, Allen Reference Atlases, mouse.brainmap .org, 2004.

E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, 1999.

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

L. De-veronese and R. Krohling, Swarm's flight: Accelerating the particles using C-CUDA, 2009 IEEE Congress on Evolutionary Computation, pp.3264-3270, 2009.
DOI : 10.1109/CEC.2009.4983358

L. De-veronese and R. Krohling, Differential evolution algorithm on the GPU with C-CUDA, IEEE Congress on Evolutionary Computation, pp.1-7, 2010.
DOI : 10.1109/CEC.2010.5586219

A. E. Eiben and S. K. Smit, Parameter tuning for configuring and analyzing evolutionary algorithms, Swarm and Evolutionary Computation, vol.1, issue.1, pp.19-31, 2011.
DOI : 10.1016/j.swevo.2011.02.001

A. E. Eiben and J. E. Smith, Introduction to Evolutionary Computing, 2003.

J. Grefenstette, Optimization of Control Parameters for Genetic Algorithms, IEEE Transactions on Systems, Man, and Cybernetics, vol.16, issue.1, pp.122-128, 1986.
DOI : 10.1109/TSMC.1986.289288

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

P. Krömer, V. Snå?el, J. Plato?, and A. Abraham, Many-threaded implementation of differential evolution for the CUDA platform, Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO '11, pp.1595-1602, 2011.
DOI : 10.1145/2001576.2001791

M. Meissner, M. Schmuker, and G. Schneider, Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training, BMC Bioinformatics, vol.7, 2006.

R. Mercer and J. Sampson, ADAPTIVE SEARCH USING A REPRODUCTIVE META???PLAN, Kybernetes, vol.7, issue.3, pp.215-228, 1978.
DOI : 10.1108/eb005486

P. Mesejo, R. Ugolotti, D. Cunto, F. Giacobini, M. Cagnoni et al., Automatic hippocampus localization in histological images using Differential Evolution-based deformable models, Pattern Recognition Letters, vol.34, issue.3, pp.299-307, 2013.
DOI : 10.1016/j.patrec.2012.10.012

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

L. Mussi, Y. S. Nashed, and S. Cagnoni, GPU-based asynchronous particle swarm optimization, Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO '11, pp.1555-1562, 2011.
DOI : 10.1145/2001576.2001786

Y. S. Nashed, R. Ugolotti, P. Mesejo, and S. Cagnoni, libCudaOptimize, Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, GECCO Companion '12, pp.117-124, 2012.
DOI : 10.1145/2330784.2330803

URL : https://hal.archives-ouvertes.fr/hal-01221652

M. E. Pedersen, Tuning and Simplifying Heuristical Optimization, 2010.

S. K. Smit and A. E. Eiben, Comparing parameter tuning methods for evolutionary algorithms, 2009 IEEE Congress on Evolutionary Computation, pp.399-406, 2009.
DOI : 10.1109/CEC.2009.4982974

S. K. Smit and A. E. Eiben, Beating the 'world champion' evolutionary algorithm via REVAC tuning, Proc. of IEEE Congress on Evolutionary Computation, pp.1-8, 2010.

R. Storn and K. Price, Differential Evolution -a simple and efficient adaptive scheme for global optimization over continuous spaces, International Computer Science Institute, 1995.

R. Ugolotti, Y. S. Nashed, P. Mesejo, and S. Cagnoni, Algorithm configuration using GPU-based metaheuristics, Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, GECCO '13 Companion, 2013.
DOI : 10.1145/2464576.2464682

URL : https://hal.archives-ouvertes.fr/hal-01221570