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Integration of AI and OR Techniques in Constraint Programming : 13th International Conference, CPAIOR 2016, Banff, AB, Canada, May 29 - June 1, 2016, Proceedings / edited by Claude-Guy Quimper.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Quimper, Claude-Guy, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 9676
Theoretical Computer Science and General Issues, 2512-2029 ; 9676
Language:
English
Subjects (All):
Numerical analysis.
Computer science-Mathematics.
Discrete mathematics.
Algorithms.
Artificial intelligence.
Operations research.
Management science.
Numerical Analysis.
Mathematical Applications in Computer Science.
Discrete Mathematics in Computer Science.
Artificial Intelligence.
Operations Research, Management Science .
Local Subjects:
Numerical Analysis.
Mathematical Applications in Computer Science.
Discrete Mathematics in Computer Science.
Algorithms.
Artificial Intelligence.
Operations Research, Management Science .
Physical Description:
1 online resource (XIX, 421 pages) : 123 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 13th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016. The 21 full papers presented together with 8 short papers were carefully reviewed and selected from 51 submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in combinatorial optimization and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.
Contents:
On CNF Encodings for Decision Diagrams
Time-Series Constraints: Improvements and Application in CP and MIP Contexts
Finding a Collection of MUSes Incrementally
Decompositions Based on Decision Diagrams
Logic-Based Decomposition Methods for the Travelling Purchaser Problem
Lagrangian Decomposition via Subproblem Search
Non-linear Optimization of Business Models in the Electricity Market
Weighted Spanning Tree Constraint with Explanations
Forward-Checking ltering for Nested Cardinality Constraints: Application to an Energy Cost Aware Production Planning Problem for Tissue Manufacturing
Cyclic Routing of Unmanned Aerial Vehicles
Parallelizing Constraint Programming with Learning
Parallel Composition of Scheduling Solvers
Rail Capacity Planning With Constraint Programming
Scheduling Home Hospice Care with Logic-Based Benders Decomposition
A Global Constraint for Mining Sequential Patterns with GAP Constraint
A Reservoir Balancing Constraint with Applications to Bike-Sharing
Optimization Models for a Real-World Snow Plow Routing Problem
The TASKINTERSECTION Constraint
A Stochastic Continuous Optimization Backend for MiniZinc with Applications to Geometrical Placement Problems
Constructions and In-place Operations for MDDs Based Constraints
Balancing Nursing Workload by Constraint Programming
Designing Spacecraft Command Loops Using Two-Dimension Vehicle Routing
Constraint Programming Approach for Spatial Packaging Problem
Detecting Semantic Groups in MIP Models
Revisiting Two-Sided Stability Constraints
Optimal Flood Mitigation over Flood Propagation Approximations
A Bit-Vector Solver with Word Level Propagation
A New Solver for the Minimum Weighted Vertex Cover Problem
Optimal Upgrading Schemes for Eective Shortest Paths in Networks.
Other Format:
Printed edition:
ISBN:
978-3-319-33954-2
9783319339542
Access Restriction:
Restricted for use by site license.

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