J. Fages, G. Chabert, and C. Prud-'homme, Combining finite and continuous solvers
URL : https://hal.archives-ouvertes.fr/hal-00904069

R. Rodosek, M. Wallace, and M. Hajian, A new approach to integrating mixed integer programming and constraint logic programming, Annals of Operational Research. Recent Advances in Comb. Optimization, 1997.

P. Refalo, Linear formulation of constraint programming models and hybrid solvers, " in Principles and Practice of Constraint Programming -CP, 6th International Conference, pp.369-383, 2000.

G. Belov, P. J. Stuckey, G. Tack, and M. Wallace, Improved Linearization of Constraint Programming Models, Principles and Practice of Constraint Programming -CP 2016, 22nd International Conference Proc, 2016.
DOI : 10.1007/978-3-642-38171-3_18

P. Schaus, Y. Deville, P. Dupont, and J. Régin, The Deviation Constraint, Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, pp.260-274, 2007.
DOI : 10.1007/978-3-540-72397-4_19

P. Schaus, P. V. Hentenryck, and J. Régin, Scalable load balancing in nurse to patient assignment problems, " in Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Proc., ser. Lecture Notes in Computer Science, pp.248-262, 2009.

J. Puget, Constraint programming next challenge: Simplicity of use, " in Principles and Practice of Constraint Programming -CP, 10th International Conference, pp.5-8, 2004.

M. Milano and P. V. Hentenryck, Hybrid Optimization -The Ten Years of CPAIOR, ser. Springer Optimization and its Applications, 2011.

J. Benders, Partitioning procedures for solving mixed-variables programming problems, Computational Management Science, vol.2, issue.1, pp.3-193, 2005.
DOI : 10.1007/s10287-004-0020-y

T. Petit and A. C. Trapp, Finding diverse solutions of high quality to constraint optimization problems, Proc. of the Twenty-Fourth International Joint Conference on Artificial Intelligence, pp.260-267, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01170003

E. Hebrard, B. Hnich, B. O. Sullivan, and T. Walsh, Finding diverse and similar solutions in constraint programming, Proc., The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, pp.372-377, 2005.
DOI : 10.1007/978-3-540-24664-0_11

URL : http://www.cse.unsw.edu.au/~tw/hhwcpaior2004-letter.ps

J. Régin, The global minimum distance constraint, ILOG (IBM) Tech. Rep, 1997.

C. Quimper, A. López-ortiz, and G. Pesant, A quadratic propagator for the inter-distance constraint, Proc., The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, pp.123-128, 2006.

N. Beldiceanu, M. Carlsson, and J. Rampon, Global Constraint Catalog, SICS, Tech. Rep, pp.2010-2017, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00485457

J. Régin, Generalized arc consistency for global cardinality constraint, Proc. of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, AAAI 96, IAAI 96, pp.209-215, 1996.

I. P. Gent, K. Stergiou, and T. Walsh, Decomposable Constraints, Artif. Intell, vol.123, issue.12, pp.133-156, 2000.
DOI : 10.1007/3-540-44654-0_7

URL : http://www.samos.aegean.gr/samos_icsd/research/InCoSys/Publications/LNAI1999.pdf

E. Hebrard, B. O. Sullivan, and T. Walsh, Distance constraints in constraint satisfaction, IJCAI 2007, Proc. of the 20th International Joint Conference on Artificial Intelligence, pp.106-111, 2007.

N. Beldiceanu and E. Contejean, Introducing global constraints in CHIP, Mathematical and Computer Modelling, vol.20, issue.12, pp.97-123, 1994.
DOI : 10.1016/0895-7177(94)90127-9

URL : https://hal.archives-ouvertes.fr/hal-00442810

C. Bessì-ere, E. Hebrard, B. Hnich, Z. Kiziltan, and T. Walsh, Among, common and disjoint constraints, Recent Advances in Constraints, Joint ERCIM/CoLogNET Int. Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2005, pp.29-43, 2005.

T. Petit and J. Régin, THE ORDERED DISTRIBUTE CONSTRAINT, International Journal on Artificial Intelligence Tools, vol.20, issue.04, pp.617-637, 2011.
DOI : 10.1057/palgrave/jors/2601265

URL : https://hal.archives-ouvertes.fr/hal-00517141

T. Petit, J. Régin, and C. Bessì-ere, Specific Filtering Algorithms for Over-Constrained Problems, Principles and Practice of Constraint Programming -CP 2001, 7th International Conference, pp.451-463, 2001.
DOI : 10.1007/3-540-45578-7_31

URL : http://www.lirmm.fr/~tpetit/./cp2001-1.ps

A. Koster, Frequency assignment: models and algorithms, 1999.

N. Beldiceanu and T. Petit, Cost evaluation of soft global constraints, " in Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Proc, pp.80-95, 2004.

W. Van-hoeve, G. Pesant, and L. Rousseau, On global warming: Flow-based soft global constraints, Journal of Heuristics, vol.1, issue.4, pp.4-5, 2006.
DOI : 10.1007/s10732-006-6550-4

F. Liers, Contributions to determining exact ground-states of ising spinglasses and to their physics, 2004.

F. Boussemart, F. Hemery, C. Lecoutre, and L. Sais, Boosting systematic search by weighting constraints, Proc. of the 16th Eureopean Conference on Artificial Intelligence, pp.146-150, 2004.

N. Van-omme, L. Perron, and V. Furnon, OR-Tools users manual, Google, Tech. Rep, 2014.