Principles and Practice of Constraint Programming

Technical Track.- Instance Generation via Generator Instances.- Automatic Detection of At-Most-One and Exactly-One Relations for Improved SAT Encodings of Pseudo-Boolean Constraints.- Exploring Declarative Local-Search Neighbourhoods with Constraint Programming.- Vehicle routing by learning from historical solutions.- On Symbolic Approaches for Computing the Matrix Permanent.- Towards the Characterization of Max-Resolution Transformations of UCSs by UP-Resilience.- Logic-Based Benders Decomposition for Super Solutions: an Application to the Kidney Exchange Problem.- Exploiting Glue Clauses to Design Effective CDCL Branching Heuristics.- Industrial Size Job-Shop Scheduling tackled by Present-Day CP Solvers.- Dual Hashing-based Algorithms for Discrete Integration.- Techniques Inspired by Local Search for Incomplete MaxSAT and the Linear Algorithm: Varying Resolution and Solution-Guided Search.- A Join-Based Hybrid Parameter for Constraint Satisfaction.- An Incremental SAT-BasedApproach to the Graph Colouring Problem.- Constraint-based Techniques in Stochastic Local Search MaxSAT Solving.- Trimming Graphs Using Clausal Proof Optimization.- Improved Job Sequencing Bounds from Decision Diagrams.- Integration of structural constraints into TSP models.- Representing fitness landscapes by valued constraints to understand the complexity of local search.- Estimating the Number of Solutions of Cardinality Constraints through range and roots Decomposition.- Understanding the Empirical Hardness of Random Optimisation Problems.- Guarded Constraint Models Define Treewidth Preserving Reductions.- Automatic Streamlining for Constrained Optimisation.- Compiling Conditional Constraints.- Training Binarized Neural Networks using MIP and CP.- Application Track.- Models for Radiation Therapy Patient Scheduling.- Constraint Programming-based Job Dispatching for Modern HPC Applications.- Scheduling of Mobile Robots using Constraint Programming.- Decomposition and Cut