Integration of AI and OR Techniques in Constraint Programming: 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings

Author:   Domenico Salvagnin ,  Michele Lombardi
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10335
ISBN:  

9783319597751


Pages:   420
Publication Date:   31 May 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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


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Author:   Domenico Salvagnin ,  Michele Lombardi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10335
Weight:   6.672kg
ISBN:  

9783319597751


ISBN 10:   3319597752
Pages:   420
Publication Date:   31 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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 WeightedArborescence 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 toSolve 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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