Publications

Work in progress

Frederic Docquier, Nicolas Golenvaux, Siegfried Nijssen, Pierre Schaus Are Travel Bans the Answer to Stopping the Spread of COVID-19 Variants? Lessons from a Multi-Country SIR Model Under Review
Erick Cuenca, Frédéric Docquier, Siegfried Nijssen, Pierre Schaus EvoFlows: an Interactive Approach for Visualizing Spatial and Temporal Trends in Origin-Destination Data Under Review
John Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus IMPACT OF WEATHER FACTORS ON MIGRATION INTENTION USING MACHINE LEARNING ALGORITHMS Under Review

2022

Gaël Aglin, Siegfried Nijssen, Pierre Schaus Learning Optimal Decision Trees Under Memory Constraints European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML-PKDD2022), Grenoble France.
Harold Kiossou, Pierre Schaus, Siegfried Nijssen, Vinasetan Ratheil Houndji Time constrained DL8.5 using Limited Discrepancy Search European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML-PKDD2022), Grenoble France.
Xavier Gillard, Pierre Schaus Large Neighborhood Search with Decision Diagrams The 31st International Joint Conference on Artificial Intelligence, (IJCAI22), Vienna, Austria. github repo
Augustin Delecluse, Pierre Schaus, Passcal Van Hentenryck Sequence Variables for Routing Problems The 28th International Conference on Principles and Practice of Constraint Programming, (CP2022), HAIFA, ISRAEL. github repo
Vianney Coppé, Xavier Gillard, Pierre Schaus Solving the Constrained Single-Row Facility Layout Problem with Decision Diagrams The 28th International Conference on Principles and Practice of Constraint Programming, (CP2022), HAIFA, ISRAEL. github repo
Vianney Coppé, Pierre Schaus A Conflict Avoidance Table for Continuous Conflict-Based Search Fifteenth International Symposium on Combinatorial Search SOCS (2022) (SOCS2022), Vienna, Austria
Fredéric Docquier, Nicolas Golenvaux, Siegfried Nijssen, Pierre Schaus & Felix Stips Cross-border mobility responses to COVID-19 in Europe: new evidence from facebook data BMC Journal Globalization and Health (2022) (paper)
Alexandre Dubray, Guillaume Derval, Siegfried Nijssen1, and Pierre Schaus Optimal Decoding of Hidden Markov Models With Consistency Constraints 25th International Conference on Discovery Science, (DS-2022), Montpellier France.

2021

Thu Hien Dao, Frédéric Docquier, Mathilde Maurel and Pierre Schaus Global migration in the twentieth and twenty‐first centuries: the unstoppable force of demography Review of World Economics volume 157, pages 417–449 (2021) (paper)
Simon Dellicour, Catherine Linard, Nina Van Goethem, Daniele Da Re, Jean Artois, Jérémie Bihin, Pierre Schaus, François Massonnet, Herman Van Oyen, Sophie O. Vanwambeke, Niko Speybroeck and Marius Gilbert Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case BMC International Journal of Health Geographics (paper)
Xavier Gillard, Vianney Coppé, Pierre Schaus, André Augusto Ciré Improving the Filtering of Branch-and-Bound MDD Solver (Best-Paper Award) 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR21), Vienna, Austria
Alexandre Dubray, Siegfried Nijssen, Isabelle Thomas and Pierre Schaus A Seriation Based Framework to Visualize Multiple Aspects of Road Transport from GPS Trajectories 24th IEEE International Conference on Intelligent Transportation - ITSC2021 (ITSC2021), Indianapolis, IN, United States
Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus Learning Optimal Decision Trees using Constraint Programming Constraints Journal.
Laurent Michel, Pierre Schaus, Pascal Van Hentenryck MiniCP: A Lightweight Solver for Constraint Programming at Mathematical Programming Computation Springer Journal. www.minicp.org.
Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus Generic Constraint-based Block Modeling using Constraint Programming at Journal of Artificial Intelligence Research (JAIR) code.

2020

Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus Mining Constrained Regions of Interest: An Optimization Approach 23rd International Conference on Discovery Science at DS2020
Gael Aglin , Siegfried Nijssen and Pierre Schaus PyDL8.5: a Library for Learning Optimal Decision Trees 29th International Joint Conference on Artificial Intelligence at IJCAI 2020 Yokohama, Japan code.
Xavier Gillard , Pierre Schaus and Vianney Coppe Ddo, a Generic and Efficient Framework for MDD-Based Optimization 29th International Joint Conference on Artificial Intelligence at IJCAI 2020 Yokohama, Japan code.
Charles Thomas, Roger Kameugne, Pierre Schaus Insertion Sequence Variables for Hybrid Routing and Scheduling Problems International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR2020), Vienna, Austria.
Sascha Van Cauwelaert, Cyrille Dejemeppe, Pierre Schaus The Unary Resource with Transition Times and Optional Activities Accepted at Journal of Scheduling Springer Journal.
Gael Aglin, Siegfried Nijssen, Pierre Schaus Learning Optimal Decision Trees Using Caching Branch-and-Bound Search In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020 New York.), 2020, NY, USA. python tool
Nicolas Golenvaux, Pablo Gonzalez Alvarez, Harold Silvère Kiossou, Pierre Schaus An LSTM approach to Predict Migration based on Google Trends. Data-driven Humanitarian Mapping (a KDD Workshop) (KDD Workshop New York.) code and data
Derval G, François-Lavet V, Schaus P. Nowcasting COVID-19 hospitalizations using Google Trends and LSTM in AI for Social Good Workshop (AISG), code and data
Harold Silvere Kiossou , Yannik Schenk, Frédéric Docquier, Vinasetan Ratheil Houndji, Siegfried Nijssen , Pierre Schaus Using an interpretable Machine Learning approach to study the drivers of International Migration in AI for Social Good Workshop (AISG)

2019

Guillaume Derval, Frederic Docquier, Pierre Schaus An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data In Springer, editor, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2019 ECML-PKDD 2019 Wurzburg, Germany.
Vincent Branders, Guillaume Derval, Pierre Dupont, Pierre Schaus Mining a maximum weighted set of disjoint submatrices In Springer, editor, 22nd International Conference on Discovery Science, 2019, DS2019 Split, Croatia.
Xavier Gillard, Pierre Schaus and Yves Deville SolverCheck: Declarative Testing of Constraints In Springer, editor, 25th International Conference on Principles and Practice of Constraint Programming (CP), 2019, CP2019 Stamford, US.
John Aoga, Siegfried Nijssen and Pierre Schaus Modeling Pattern Set Mining using Boolean Circuits In Springer, editor, 25th International Conference on Principles and Practice of Constraint Programming (CP), 2019, CP2019 Stamford, US.
Alex Mattenet, Ian Davidson, Siegfried Nijssen, and Pierre Schaus Generic Constraint-based Block Modeling using Constraint Programming (Best Paper Award) In Springer, editor, 25th International Conference on Principles and Practice of Constraint Programming (CP), 2019, CP2019 Stamford, US.
Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper and Pierre Schaus Learning Optimal Decision Trees using Constraint Programming In Springer, editor, 25th International Conference on Principles and Practice of Constraint Programming (CP), 2019, CP2019 Stamford, US. (fast track constraints invitation, work in progress)
Hélèhe Verhaeghe, Christophe Lecoutre, Pierre Schaus Extending Compact-Diagram to Basic Smart Multi-Valued Variable Diagrams International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR19), Thessaloniki, Greece.
Guillaume Derval, Vincent Branders, Pierre Dupont, Pierre Schaus The maximum weighted submatrix coverage problem: A CP approach International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR19), Thessaloniki, Greece.
Vinasetan Ratheil Houndji, Pierre Schaus, Laurence Wolsey The Item Dependent StockingCost Constraint accepted at Constraints Springer Journal.
Mathieu Jadin, Francois Aubry, Pierre Schaus, Olivier Bonaventure CG4SR: Near Optimal Traffic Engineering for Segment Routing with Column Generation IEEE International Conference on Computer Communications (INFOCOM2019), Paris, France.

2018

John O.R. Aoga, Tias Guns, Siegfried Nijssen, and Pierre Schaus Finding Probabilistic Rule Lists using the Minimum Description Length Principle The 21st International Conference on Discovery Science (DS18), Limassol, Cyprus.
Quentin Cappart, Charles Thomas, Pierre Schaus, and Louis-Martin Rousseau A Constraint Programming Approach for Solving Patient Transportation Problems 24th International Conference on Principles and Practice of Constraint Programming (CP18), Lille, France
Aurélie Massart, Valentin Rombouts, and Pierre Schaus Testing Global Constraints CP-18 Doctoral Program (CP18-doctoral program), Lille, France
Hélene Verhaeghe, Christophe Lecoutre, Pierre Schaus Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets 27th International Joint Conference on Artificial Intelligence (IJCAI18), Stockholm, Sweden
Quentin Cappart, John Aoga, Pierre Schaus EpisodeSupport: a Global Constraint for Mining Frequent Patterns in a Long Sequence of Events International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR18), Delft, The Netherlands
Charles Thomas, Pierre Schaus Revisiting the Self-Adaptive Large Neighbourhood Search International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR18), Delft, The Netherlands
Minh Thanh Khong, Christophe Lecoutre, Pierre Schaus and Yves Deville Soft-regular with a prefix-size violation measure International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR18), Delft, The Netherlands
Vincent Branders, Pierre Schaus, Pierre Dupont Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum Selected papers from International workshop on New Frontiers in MINING COMPLEX PATTERNS, 2017, NFMCP17 Skopje, Macedonia. Lecture Notes in Artificial Intelligence, No. 10785, Springer Nature, pp. 65-79, January 1, 2018.

2017

Steven Gay, Pierre Schaus, Stefano Vissicchio REPETITA: Repeatable Experiments for Performance Evaluation of Traffic-Engineering Algorithms, 2017, Arxiv technical report.
Minh Thanh Khong, Yves Deville, Pierre Schaus, Christophe Lecoutre Efficient Reification of Table Constraints 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, ICTAI2017 Boston, MA, USA.
Pierre Schaus, John O.R. Aoga, Tias Guns CoverSize: A Global Constraint for Frequency-based Itemset Mining. In Springer, editor, 23d International Conference on Principles and Practice of Constraint Programming (CP), 2017, CP2017 Melbourne, Australia.
Hélene Verhaeghe, Christophe Lecoutre, Yves Deville, Pierre Schaus Extending Compact-Table to Basic Smart Tables. In Springer, editor, 23d International Conference on Principles and Practice of Constraint Programming (CP), 2017, CP2017 Melbourne, Australia.
Guillaume Derval, Jean-Charles Régin, Pierre Schaus Improved Filtering for the Bin-Packing with Cardinality Constraint under review for Constraints Springer Journal, CP017 fast-track (CP17), Melbourne, Australia (Best Student Paper Award)
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus A Visual Web Tool to Perform What-If Analysis of Optimization Approaches arXiv technical-report
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus How Efficient is a Global Constraint in Practice ? A Fair Experimental Framework. Constraints Springer Journal.
Sascha Van Cauwelaert, Pierre Schaus Efficient Filtering for the Resource-Cost AllDifferent Constraint. Constraints 22(4): 493-511 (2017). Springer Journal, CPAIOR2017 fast-track issue (CPAIOR17), Padova, Italy
John O.R. Aoga, Tias Guns, Pierre Schaus Mining Time-constrained Sequential Patterns with Constraint Programming. Constraints22(4): 548-570 Springer Journal, CPAIOR2017 fast-track issue (CPAIOR17), Padova, Italy
Vinasetan Ratheil Houndji, Pierre Schaus, Mahouton Norbert Hounkonnou and Laurence Wolsey The Weighted Arborescence Constraint International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR17), Padova, Italy
Quentin Cappart, Pierre Schaus Rescheduling Railway Traffic on Real Time Situations using Time-Interval Variables International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR17), Padova, Italy
Hélène Verhaeghe, Christophe Lecoutre and Pierre Schaus Extending Compact-Table to Negative and Short Tables In Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017 San Francisco.), 2017, California, USA.
Quentin Cappart, Christophe Limbree, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay. Verification of interlocking systems using statistical model checking. 18th IEEE International Symposium on High Assurance System Engineering. HASE 20017. Singapore.

2016

John O.R. Aoga, Tias Guns, Pierre Schaus. An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming. In Springer, editor, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2016, ECML-PKDD 2016. Riva Del Garda, Italy.
John O.R. Aoga, Tias Guns, Pierre Schaus. Scalable Constraint Programming approach for Mining Frequent Sequence with gap constraints. Benelearn2016.
Jordan Demeulenaere, Renaud Hartert, Christophe Lecoutre, Guillaume Perez, Laurent Perron, Jean-Charles Régin, Pierre Schaus. Compact-Table: Efficiently Filtering Table Constraints with Reversible Sparse Bit-Sets. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2016, CP2016 Toulouse, France.
Anthony Palmieri, Jean-Charles Régin, Pierre Schaus Parallel Strategies Selection. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2016, CP2016 Toulouse, France.
Sascha Van Cauwelaert, Cyrille Dejemeppe, Jean-Noël Monette Monette, Pierre Schaus. Efficient Filtering for the Unary Resource with Family-based Transition Times. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2016, CP2016 Toulouse, France.
Guillaume Derval, Pierre Schaus, Jean-Charles Régin. Embarassingly Parallel Search Reengineered. accepted to CP2016 doctoral program.
Pierre Schaus, Cyrille Dejemeppe, Sébastien Mouthuy, François-Xavier Mouthuy, Paul Gaborit. The Torpedo Scheduling Problem ACP Challenge 2016.
Minh Thanh Khong, Christophe Lecoutre, Yves Deville, Pierre Schaus Réification de Contraintes Tables. Douzièmes Journées Francophones de Programmation par Contraintes JFPC2016, Montpellier.
Quentin Cappart and Pierre Schaus. A dedicated algorithm for verification of interlocking systems accepted to SAFECOMP2016.
Cyrille Dejemeppe, Olivier Devolder, Victor Lecomte, Pierre Schaus. Forward-Checking filtering for Nested Cardinality Constraints: Application to an Energy Cost Aware Production Planning Problem for Tissue Manufacturing. International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR16) Banff, Canada.

2015

Quentin Cappart, Christophe Limbrée, Pierre Schaus, Axel Legay. Verification by discrete simulation of interlocking systems. 29th European Simulation and Modelling Conference - ESM'2015, October 26-28, 2015, Leicester, UK.
Cyrille Dejemeppe, Sascha Van Cauwelaert and Pierre Schaus. The Unary Resource with Transition Times. , International Conference on Principles and Practice of Constraint Programming (CP), 2015, (CP2015), Cork, Ireland.
Steven Gay, Renaud Hartert, Christophe Lecoutre and Pierre Schaus. Conflict Ordering Search for Scheduling Problems. , editor, International Conference on Principles and Practice of Constraint Programming (CP), 2015, (CP2015), Cork, Ireland.
Steven Gay, Renaud Hartert and Pierre Schaus. Simple and Scalable time-table filtering for the Cumulative Constraint. In Springer, editor,International Conference on Principles and Practice of Constraint Programming (CP), 2015, (CP2015), Cork, Ireland.
Renaud Hartert, Pierre Schaus, Stefano Vissicchio and Olivier Bonaventure. Solving the General Segment Routing Problem with Constraint Programming Techniques. , editor, International Conference on Principles and Practice of Constraint Programming (CP), 2015, (CP2015), Cork, Ireland.
Renaud Hartert,Stefano Vissicchio,Pierre Schaus,Olivier Bonaventure,Clarence Filsfils,Thomas Telkamp,Pierre Francois A Declarative and Expressive Approach to Control Forwarding Paths in Carrier-Grade Networks Proceedings of the 2015 ACM SIGCOMM Conference (SIGCOMM15), London, UK.
Simon Busard, Quentin Cappart, and Christophe Limbrée, Charles Pecheur, Pierre Schaus Verification of railway interlocking systems 4th, International Workshop on Engineering Safety and Security Systems (ESSS), Oslo, Norway.
Steven Gay, Renaud Hartert and Pierre Schaus. Time-Table Disjunctive Reasoning for the Cumulative Constraint. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR15), Barcelona, Spain
Sascha Van Cauwelaert, Michele Lombardi and Pierre Schaus. Understanding the Potential of Propagators. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR15), Barcelona, Spain
Cyrille Dejemeppe, Pierre Schaus and Yves Deville. Derivative Free Optimization: Lifting Single-Objective to Multi-Objective Algorithm. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR15), Barcelona, Spain

2014

Sascha Van Cauwelaert, Michele Lombardi, and Pierre Schaus. Supervised Learning to Control Energetic Reasoning : Feasibility Study. In proceedings of CP 2014 Doctoral Program. (CP2014), Lyon, France. poster
Vinasétan Ratheil Houndji, Pierre Schaus, Laurence Wolsey and Yves Deville. The StockingCost Constraint. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2014, (CP2014), Lyon, France.
Steven Gay, Pierre Schaus, and Vivian De Smedt. Continuous Casting Scheduling with Constraint Programming. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2014, (CP2014), Lyon, France.
Renaud Hartert, Pierre Schaus. A Support-Based Algorithm for the Bi-Objective Pareto Constraint In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2014 Quebec.), 2014, Quebec, Canada
Michele Lombardi, Pierre Schaus. Cost Impact Guided LNS . In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR14), Cork, Ireland

2013

Pierre Schaus, Jean-Charles Régin. Bound-Consistent Spread Constraint, Application to load balancing in nurse-to-patient assignments EURO Journal on Computational Optimization, 2013. BibTex
Pierre Schaus. Variable Objective Large Neighborhood Search: A practical approach to solve over-constrained problems 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013.
Vianney le Clément de Saint-Marcq, Pierre Schaus, Christine Solnon, and Christophe Lecoutre. Sparse-Sets for Domain Implementation TRICS - Techniques foR Implementing Constraint programming Systems, CP 2013 Workshop.
Renaud Hartert, Pierre Schaus. The Bi-Objective Pareto Constraint In proceedings of CP 2013 Doctoral Program. poster
Pierre Schaus, Renaud Hartert. Multi-Objective Large Neighborhood Search In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2013.
François Pelsser, Pierre Schaus, Jean-Charles Régin. Revisiting the cardinality reasoning for BinPacking constraint In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2013.

2006-2012

Pierre Schaus, Jean-Charles Régin, Rowan Van Schaeren, Wout Dullaert, and Birger Raa. Cardinality reasoning for bin-packing constraint. application to a tank allocation problem. In Springer, editor, International Conference on Principles and Practice of Constraint Programming (CP), 2012.
Pierre Schaus, Pascal Van Hentenryck, Jean-Noël Monette, C. Coffrin, L. Michel, and Yves Deville. Solving steel mill slab problems with constraint-based techniques: CP, LNS, and CBLS. Journal of Constraints, 2011.
Jean-Baptiste Mairy, Pierre Schaus, and Yves Deville. Generic adaptive heuristics for large neighborhood search. In 8th Workshop on Local Search techniques in Constraint Satisfaction (LSCS 2011), 2011.
Pierre Schaus, Pascal Van Hentenryck, and Alessandro Zanarini. Revisiting the soft global cardinality constraint. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems( CPAIOR), 2010.
Julien Dupuis, Pierre Schaus, and Yves Deville. Consistency check for the bin packing constraint revisited. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems( CPAIOR), 2010.
Pierre Schaus, Pascal Van Hentenryck, and Jean-Charles Régin. Scalable load balancing in nurse to patient assignment problems. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR), pages 248-262, 2009.
Pierre Schaus and Yves Deville. Hybridization of CP and VLNS for eternity II. In JFPC, 2008.
Pierre Schaus and Yves Deville. A global constraint for bin-packing with precedences: Application to the assembly line balancing problem. In Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), 2008.
Jean-Noël Monette, Pierre Schaus, Stéphane Zampelli, Yves Deville, and Pierre Dupont. A CP approach to the balanced academic curriculum problem. In The Seventh International Workshop on Symmetry and Constraint Satisfaction Problems (Symcon07), 2007.
Pierre Schaus, Yves Deville, and Pierre Dupont. Bound-consistent deviation constraint. In Springer, editor, In International Conference on Principles and Practice of Constraint Programming (CP), 2007.
Schaus Pierre, Yves Deville, Pierre Dupont, and Jean-Charles Régin. The deviation constraint. In Springer, editor, International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR), 2007.
Schaus Pierre, Yves Deville, Pierre Dupont, and Jean-Charles Régin. Simplification and extension of the Spread Constraint , pages 95-99. 2007. Trends in Constraint Programming, Editor(s): Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan, ISBN: 9781905209972
Schaus Pierre, Yves Deville, Pierre Dupont, and Jean-Charles Régin. Simplification and extension of the Spread constraint. In Third International Workshop on Constraint Propagation and Implementation, pages 72-92, 2006.