Principles and Practice of Constraint Programming

24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings

Häftad, Engelska, 2018

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This book constitutes the proceedings of the 24th International Conference on Principles and Practice of Constraint Programming, CP 2018, held in Lille, France, in August 2018.The 41 full and 9 short papers presented in this volume were carefully reviewed and selected from 114 submissions.

Produktinformation

Utgivningsdatum2018-08-23
Mått155 x 235 x 43 mm
Vikt1 177 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor765
FörlagSpringer International Publishing AG
ISBN9783319983332

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Main Technical Track.- Automatic Discovery and Exploitation of Promising Subproblems for Tabulation.- Propagating regular membership with dashed strings.- A Constraint-based Encoding for Domain-Independent Temporal Planning.- Decremental Consistency Checking of Temporal Constraints: Algorithms for the Point Algebra and the ORD-Horn Class.- Domain Reduction for Valued Constraints by Generalising Methods from CSP.- Solver-independent Large Neighbourhood Search.- Solution-Based Phase Saving for CP: A Value-Selection Heuristic to Simulate Local Search Behavior in Complete Solvers.- An SMT Approach to Fractional Hypertree Width.- On the non-Degeneracy of Unsatisfiability Proof Graphs produced by SAT Solvers.- Sequential Precede Chain for value symmetry elimination.- An Incremental SAT-Based Approach to Reason Efficiently On Qualitative Constraint Network.- Clause Learning and New Bounds for Graph Coloring.- Portfolio-based algorithm selection for circuit QBFs.- Making Compact-Table Compact.- Approximation Strategies for Incomplete MaxSAT.- A novel graph-based heuristic approach for solving sport scheduling problem.- Augmenting Stream Constraint Programming with Eventuality Conditions.- A Complete Tolerant Algebraic Side-Channel Attack for AES with CP.- Evaluating QBF Solvers: Quantifier Alternations Matter.- The Quantified Valued Constraint Satisfaction Problem.- MLIC: A MaxSAT-Based framework for learning interpretable classification rules.- Objective as a Feature for Robust Search Strategies.- PW-ACBit: Extending Compact-Table to Enforce Pairwise Consistency on Table Constraints.- Automatic Generation and Selection of Streamlined Constraint Models via Monte Carlo Search on a Model Lattice.- Efficient Methods for Constraint Acquisition.- A Circuit Consellmanntraint for Multiple Tours Problems.- Towards Semi-Automatic Learning-based Model Transformation.- Finding solutions by finding inconsistencies.- The Effect of Structural Measures and Merges on SAT Solver Performance.- Learning-Sensitive Backdoors with Restarts.- Applications Track.- Process Plant Layout Optimization: Equipment Allocation.- A Constraint Programming Approach for Solving Patient Transportation Problems.- Unifying Reserve Design Strategies with Graph Theory and Constraint Programming.- Self-Configuring Cost-Sensitive Hierarchical Clustering With Recourse.- CP and Data Science Track.- User's constraints in itemset mining.- On Maximal Frequent Itemsets Mining With Constraints.- A Parallel SAT based Framework for Closed Frequent Itemsets Mining.- Effective Deep Learning for Constraint Satisfaction Problems.- CP and Music Track.- Extending the Capacity of 1/f Noise Generation.- CP and Operations Research Track.- Securely and Automatically Deploying Micro-Services in an Hybrid Cloud Infrastructure.- Improving Energetic Propagations for Cumulative Scheduling.- CP, Optimization, and Power System Management Track.- A Fast and Scalable Algorithm for Scheduling Large Numbers of Devices under Real-Time Pricing.- Multiagent and Parallel CP Track.- Balancing Asymmetry in Max-sum using Split Constraint Factor Graphs.- A Large Neighboring Search Schema for Multi-Agent Optimization.- Distributed constrained search by selfish agents for efficient equilibria.- Testing and Verification Track.- Metamorphic Testing of Constraint Solvers.- Algebraic Fault Attack on SHA Hash Functions using Programmatic SAT Solvers.