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Integration of AI and OR Techniques in Constraint Programming 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings
Title
Integration of AI and OR Techniques in Constraint Programming [electronic resource] : 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings / edited by Domenico Salvagnin, Michele Lombardi.
ISBN
9783319597768
Edition
1st ed. 2017.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2017.
Physical Description
1 online resource (XXIII, 420 p.) 78 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the proceedings of the 14th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2017, held in Padua, Italy, in June 2017. The 32 full papers presented together with 6 abstracts were carefully reviewed and selected from numerous submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in the intersection of these fields 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.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2023
Series
Theoretical Computer Science and General Issues, 10335
Contents
Sharpening Constraint Programming approaches for Bit-Vector Theory
Range-Consistent Forbidden Regions of Allen's Relations
MDDs are Efficient Modeling Tools: An Application to Dispersion Constraints
On Finding the Optimal Relaxed Decision Diagram
Design and Implementation of Bounded-Length Sequence Variables
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles
Debugging Unsatisfiable Constraint Models
Learning Decision Trees with Exible Constraints and Objectives Using Integer Optimization
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery
Minimizing Landscape Resistance for Habitat Conservation
A Hybrid Approach for Stator Winding Design Optimization
A Distributed Optimal Method for the Geographically Distributed Data Centres Problem
Explanation-Based-Weighted Degree
Counting-Weighted Spanning Trees to Solve Constrained Minimum Spanning Tree Problems
The Weighted Arborescence Constraint
Learning When to Use a Decomposition
Experiments with Conict Analysis in Mixed Integer Programming
A First Look at Picking Dual Variables for Maximizing Reduced-cost Based fixing
Experimental Validation of Volume-based Comparison for Double-McCormick Relaxations
Vehicle Routing Problem with Min-max Objective and Heterogeneous Fleet
Solving the Traveling Salesman Problem with Time Windows with Dynamic Discretization Discovery
A Fast Prize-collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks
Scenario Based Learning for Stochastic Combinatorial Optimization
Optimal Stock Sizing in a Cutting Stock Problem with Stochastic Demands
Stochastic Task Networks: Trading Performance for Stability
Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables
A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem
Combining CP and ILP in a Tree Decomposition of Bounded Height to Solve the Sum Coloring Problem
A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond
The Nemhauser-Trotter Reduction and Lifted Message Passing for Weighted CSPs
A Local Search Approach for Incomplete Soft Constraint Problems: Experimental Results on Meeting Scheduling Problems.
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