Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 17th International Conference, Cpaior 2020, Vienna, Austria,, Hebrard Emmanuel, Musliu Nysret
Автор: Helmut Simonis Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319070452 ISBN-13(EAN): 9783319070452 Издательство: Springer Рейтинг: Цена: 11598.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2014, held in Cork, Ireland, in May 2014. The papers focus on constraint programming and global constraints;
Описание: Constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010.
Описание: This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020.
Описание: This book constitutes the proceedings of the 15th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2018, held in Delft, The Netherlands, in June 2018. The 47 full papers presented together with 3 abstracts of invited talks and 3 abstracts of fast-track journal papers were carefully reviewed and selected from 111 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.
Описание: This book constitutes the proceedings of the 16th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2019, held in Thessaloniki, Greece, in June 2019. The 34 full papers presented together with 9 short papers were carefully reviewed and selected from 94 submissions.
Описание: This book constitutes the proceedings of the 26th International Conference on Principles and Practice of Constraint Programming, CP 2020, held in Louvain-la-Neuve, Belgium, in September 2020.
Автор: Claude-Guy Quimper Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319339532 ISBN-13(EAN): 9783319339535 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Domenico Salvagnin; Michele Lombardi Название: Integration of AI and OR Techniques in Constraint Programming ISBN: 3319597752 ISBN-13(EAN): 9783319597751 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009.
Описание: Provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, the book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science.
Описание: This book constitutes the refereed proceedings of the 17th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2020, held in Sant Cugat, Spain, in September 2020.*The 24 papers presented in this volume were carefully reviewed and selected from 46 submissions.
Описание: This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions.
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