Treffer: 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: 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings
Contributors:
Lombardi, Michele, editor., Salvagnin, Domenico, editor.
Publication Year:
2017
Physical Description:
XXIII, 420 p. 78 illus. online resource.
Series:
Lecture Notes in Computer Science
Lecture notes in computer science
Lecture notes in computer science
Subject Terms:
Artificial Intelligence (incl. Robotics), Data structures (Computer science), Computer science., Algorithms., Numerical analysis., Computer science -- Mathematics., Artificial intelligence., Operations research., Management science., Computer Science., Numeric Computing., Data Structures., Discrete Mathematics in Computer Science., Algorithm Analysis and Problem Complexity., Operations Research, Management Science.
Contents Note:
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.
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.
Original Identifier:
(Springer)9783319597768
Document Type:
Buch
Book
Language:
English
ISBN:
978-3-319-59776-8
3-319-59776-0
3-319-59776-0
Rights:
This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress.
Accession Number:
edshlc.015040385.2
Database:
Harvard Library Bibliographic Dataset
Weitere Informationen
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.