P. Bourgine, P. Chavalarias, E. Perrier, F. Amblard, and F. Arlabosse, French roadmap for complex systems, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00392486

M. Sicard, N. Perrot, S. Mesmoudi, S. Martin, R. Reuillon et al., Development of a viability approach for reverse engineering in complex food processes: Application to a camembert cheese ripening process. adaptation of the viability theory, Journal of Food Engeneering (EFG), 2011.

R. Reuillon, S. Rey, C. Schmitt, M. Leclaire, and D. Pumain, Algorithmesévolutionnairesrithmesévolutionnaires sur grille de calcul pour le calibrage de modéles géographiques, Conférence France-Grilles, pp.12-16, 2012.

R. Fisher, Design of Experiments, BMJ, vol.1, issue.3923, 1971.
DOI : 10.1136/bmj.1.3923.554-a

J. Kleijnen, Design of experiments: overview, in: Simulation Conference, pp.479-488, 2008.

H. Madsen, Automatic calibration of a conceptual rainfall???runoff model using multiple objectives, Journal of Hydrology, vol.235, issue.3-4, pp.276-288, 2000.
DOI : 10.1016/S0022-1694(00)00279-1

D. R. Harp and V. V. Vesselinov, An agent-based approach to global uncertainty and sensitivity analysis, Computers & Geosciences, vol.40, pp.19-27, 2012.
DOI : 10.1016/j.cageo.2011.06.025

J. Mouret and J. Clune, Uncovering phenotype-fitness maps using mole, 2012.

J. Aubin, Viability theory, 1991.
URL : https://hal.archives-ouvertes.fr/inria-00636570

E. Deelman, D. Gannon, M. Shields, and I. Taylor, Workflows and e-Science: An overview of workflow system features and capabilities, Future Generation Computer Systems, vol.25, issue.5, pp.528-540, 2009.
DOI : 10.1016/j.future.2008.06.012

B. Ludäscher, I. Altintas, C. Berkley, D. Higgins, E. Jaeger et al., Scientific workflow management and the Kepler system, Scientific workflow management and the kepler system: Research articles, pp.1039-1065, 2006.
DOI : 10.1002/cpe.994

I. Taylor, M. Shields, I. Wang, and A. Harrison, Visual Grid Workflow in Triana, Journal of Grid Computing, vol.20, issue.17, pp.153-169, 2005.
DOI : 10.1007/s10723-005-9007-3

Z. Farkas and P. Kacsuk, P-GRADE Portal: A generic workflow system to support user communities, Future Generation Computer Systems, vol.27, issue.5, pp.454-465, 2011.
DOI : 10.1016/j.future.2010.12.001

R. Reuillon, F. Chuffart, M. Leclaire, T. Faure, N. Dumoulin et al., Declarative task delegation in OpenMOLE, 2010 International Conference on High Performance Computing & Simulation, pp.55-62, 2010.
DOI : 10.1109/HPCS.2010.5547155

R. Reuillon, M. K. Traore, J. Passerat-palmbach, and D. R. Hill, Parallel stochastic simulations with rigorous distribution of pseudo-random numbers with DistMe: Application to life science simulations, Concurrency and Computation: Practice and Experience, vol.32, issue.6, pp.24-723, 2012.
DOI : 10.1002/cpe.1883

T. Glatard, J. Montagnat, D. Lingrand, and X. Pennec, Flexible and efficient workflow deployment of Data-Intensive applications on grids with MO- TEUR, Int. J. High Perform. Comput. Appl, pp.22-347, 2008.

S. Jha, A. Merzky, and G. Fox, Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes, Concurrency and Computation: Practice and Experience, vol.1, issue.6, pp.1087-1108, 2009.
DOI : 10.1002/cpe.1406

J. P. Kleijnen, Design of experiments: overview, Proceedings of the 40th Conference on Winter Simulation, WSC '08, Winter Simulation Conference, pp.479-488, 2008.

S. Mesmoudi, N. Perrot, R. Reuillon, P. Bourgine, and E. Lutton, Optimal viable path search for a cheese ripening process using a multi-objective ea, ICEC 2010, International Conference on Evolutionary Computation, pp.24-26, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00783852

I. Junier, R. K. Dale, C. Hou, F. Kepes, and A. Dean, CTCF-mediated transcriptional regulation through cell type-specific chromosome organization in the ??-globin locus, Nucleic Acids Research, vol.40, issue.16, pp.7718-7727, 2012.
DOI : 10.1093/nar/gks536
URL : https://hal.archives-ouvertes.fr/hal-00732516

A. Tonda, E. Lutton, R. Reuillon, G. Squillero, and P. H. Wuillemin, Bayesian Network Structure Learning from Limited Datasets through Graph Evolution, Genetic Programming, pp.254-265, 2012.
DOI : 10.1007/978-3-642-29139-5_22
URL : https://hal.archives-ouvertes.fr/hal-00757529

R. Lardy, A. Graux, B. Bachelet, D. R. Hill, and G. Bellocchi, Steadystate soil organic matter approximation model: application to the pasture simulation model, in: International Environmental Modelling and Software Society, pp.769-776, 2012.

D. Pumain, Une approche de la complexité en géographie, Géocarrefour: Revue de géographie de Lyon, pp.25-31, 2003.

L. Sanders, Objets g??ographiques et simulation agent, entre th??matique et m??thodologie, Revue internationale de g??omatique, vol.17, issue.2, pp.135-160, 2007.
DOI : 10.3166/geo.17.135-160

M. Batty, Fifty years of urban modelling : Macro-statics to macrodynamics , in: The Dynamics of Complex Urban Systems, pp.1-21, 2008.

A. Heppenstall, A. Evans, and M. Birkin, Genetic Algorithm Optimisation of An Agent-Based Model for Simulating a Retail Market, Environment and Planning B: Planning and Design, vol.14, issue.3, pp.1051-1070, 2007.
DOI : 10.1068/b32068

D. Pumain, Une thérie géographique des villes, BSGLg, vol.55, pp.5-15, 2011.

R. Sargent, Verification and validation of simulation models, Winter Simulation Conference, pp.130-143, 2005.

A. Bretagnolle, E. Daudet, and D. , Pumain, From theory to modelling : urban systems as complex systems, Cybergeo, pp.1-17, 2006.

J. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, 1992.

K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii, Lecture notes in computer science, pp.849-858, 1917.