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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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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.