Principles and Practice of Constraint Programming 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings /

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. They dea...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hooker, John (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Programming and Software Engineering ; 11008
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.