R. Alvarez-valdés and J. Manuel-tamarit, Heuristic algorithms for resourceconstrained project scheduling: A review and an empirical analysis, Advances in Project Scheduling, Studies in Production and Engineering Economics, pp.113-134, 1989.

R. Amadini, M. Gabbrielli, and J. Mauro, Abstract, Theory and Practice of Logic Programming, vol.41, issue.4-5, pp.509-524, 2014.
DOI : 10.1007/s10601-008-9051-2

R. Amadini, M. Gabbrielli, and J. Mauro, A multicore tool for constraint solving, IJCAI, pp.232-238, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01227592

R. Amadini, M. Gabbrielli, and J. Mauro, SUNNY-CP, Proceedings of the 30th Annual ACM Symposium on Applied Computing, SAC '15, pp.1861-1867, 2015.
DOI : 10.1145/2695664.2695741

URL : https://hal.archives-ouvertes.fr/hal-01227589

S. Arlot and A. Celisse, A survey of cross-validation procedures for model selection, Statistics Surveys, vol.4, issue.0, pp.40-79, 2010.
DOI : 10.1214/09-SS054

URL : https://hal.archives-ouvertes.fr/hal-00407906

P. Baptiste and C. L. Pape, Constraint propagation and decomposition techniques for highly disjunctive and highly cumulative project scheduling problems, Constraints, vol.5, issue.12, pp.119-139, 2000.
DOI : 10.1007/BFb0017454

J. , C. Beck, A. J. Davenport, E. M. Sitarski, and M. S. Fox, Texture- Based Heuristics for Scheduling Revisited, AAAI, pp.241-248, 1997.

J. Blazewicz, J. K. Lenstra, and A. H. Kan, Scheduling subject to resource constraints: classification and complexity, Discrete Applied Mathematics, vol.5, issue.1, pp.11-24, 1983.
DOI : 10.1016/0166-218X(83)90012-4

P. Brucker, A. Drexl, R. H. Mohring, K. Neumann, and E. Pesch, Resource-constrained project scheduling: Notation, classification, models, and methods, European Journal of Operational Research, vol.112, issue.1, pp.3-41, 1999.
DOI : 10.1016/S0377-2217(98)00204-5

J. Carlier and E. Néron, On linear lower bounds for the resource constrained project scheduling problem, European Journal of Operational Research, vol.149, issue.2, pp.314-324, 2003.
DOI : 10.1016/S0377-2217(02)00763-4

G. Chu, Chuffed source code. https://github

G. Chu, M. Garcia-de-la-banda, and P. J. Stuckey, Automatically Exploiting Subproblem Equivalence in Constraint Programming, CPAIOR, pp.71-86, 2010.
DOI : 10.1007/978-3-642-13520-0_10

N. Dershowitz, Z. Hanna, and A. Nadel, A Clause-Based Heuristic for SAT Solvers, SAT, pp.46-60, 2005.
DOI : 10.1007/11499107_4

C. P. Gomes and B. Selman, Algorithm portfolios, Artificial Intelligence, vol.126, issue.1-2, pp.43-62, 2001.
DOI : 10.1016/S0004-3702(00)00081-3

S. Hartmann and D. Briskorn, A survey of variants and extensions of the resource-constrained project scheduling problem, European Journal of Operational Research, vol.207, issue.1, pp.1-14, 2010.
DOI : 10.1016/j.ejor.2009.11.005

W. Herroelen, B. De-reyck, and E. Demeulemeester, Resource-constrained project scheduling: A survey of recent developments, Computers & Operations Research, vol.25, issue.4, pp.279-302, 1998.
DOI : 10.1016/S0305-0548(97)00055-5

A. Horbach, A Boolean satisfiability approach to??the??resource-constrained project scheduling problem, Annals of Operations Research, vol.68, issue.2, pp.89-107, 2010.
DOI : 10.1007/s10479-010-0693-2

F. Hutter, H. H. Hoos, and K. Leyton-brown, Sequential Model-Based Optimization for General Algorithm Configuration, LNCS, vol.56, issue.4, pp.507-523, 2011.
DOI : 10.1007/978-0-387-84858-7

F. Hutter, H. H. Hoos, K. Leyton-brown, and T. Stützle, ParamILS: An Automatic Algorithm Configuration Framework, J. Artif. Intell. Res. (JAIR), vol.36, pp.267-306, 2009.

S. Kadioglu, Y. Malitsky, M. Sellmann, and K. Tierney, ISAC -Instance- Specific Algorithm Configuration, ECAI, 2010.

R. Kolisch and S. Hartmann, Experimental investigation of heuristics for resource-constrained project scheduling: An update, European Journal of Operational Research, vol.174, issue.1, pp.23-37, 2006.
DOI : 10.1016/j.ejor.2005.01.065

O. Koné, C. Artigues, P. Lopez, and M. Mongeau, Event-based MILP models for resource-constrained project scheduling problems, Computers & Operations Research, vol.38, issue.1, pp.3-13, 2011.
DOI : 10.1016/j.cor.2009.12.011

L. Kotthoff, Algorithm Selection for Combinatorial Search Problems: A Survey, pp.48-60, 2014.
DOI : 10.1007/978-3-642-31612-8_18

S. Kreter, A. Schutt, and P. J. Stuckey, Modeling and Solving Project Scheduling with Calendars, CP, pp.262-278, 2015.
DOI : 10.1007/978-3-319-23219-5_19

S. Lawrence, Resource Constrained Project Scheduling: An Experimental Investigation of Heuristic Scheduling Techniques (Supplement), 1984.

N. Nethercote, P. J. Stuckey, R. Becket, S. Brand, G. J. Duck et al., MiniZinc: Towards a Standard CP Modelling Language, CP, pp.529-543, 2007.
DOI : 10.1007/978-3-540-74970-7_38

W. Petronella, M. Nuijten, and E. H. Aarts, A Computational Study of Constraint Satisfaction for Multiple Capacitated Job Shop Scheduling, European Journal of Operational Research, vol.90, issue.2, pp.269-284, 1996.

O. Ohrimenko, J. Peter, M. Stuckey, and . Codish, Propagation via lazy clause generation, Constraints, vol.37, issue.1???3, pp.357-391, 2009.
DOI : 10.1007/s10601-008-9064-x

J. R. Rice, The Algorithm Selection Problem, Advances in Computers, vol.15, pp.65-118, 1976.
DOI : 10.1016/S0065-2458(08)60520-3

A. Schutt, T. Feydy, P. J. Stuckey, and M. Wallace, Why Cumulative Decomposition Is Not as Bad as It Sounds, CP, pp.746-761, 2009.
DOI : 10.1007/11493853_29

A. Schutt, T. Feydy, P. J. Stuckey, and M. G. Wallace, Explaining the cumulative propagator, Constraints, vol.31, issue.1, pp.250-282, 2011.
DOI : 10.1007/s10601-010-9103-2

A. Schutt, T. Feydy, P. J. Stuckey, and M. G. Wallace, Solving RCPSP/max by lazy clause generation, Journal of Scheduling, vol.16, issue.3, pp.273-289, 2013.
DOI : 10.1007/s10951-012-0285-x

J. Peter, R. Stuckey, J. Becket, and . Fischer, Philosophy of the MiniZinc challenge, Constraints, vol.15, issue.3, pp.307-316, 2010.

J. Peter, T. Stuckey, A. Feydy, G. Schutt, J. Tack et al., The minizinc challenge 2008-2013, pp.55-60, 2014.