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Constraint-Based Scheduling, Philippe Baptiste; Claude Le Pape; Wim Nuijten


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Автор: Philippe Baptiste; Claude Le Pape; Wim Nuijten
Название:  Constraint-Based Scheduling
ISBN: 9781461355748
Издательство: Springer
Классификация:




ISBN-10: 1461355745
Обложка/Формат: Paperback
Страницы: 198
Вес: 0.31 кг.
Дата издания: 26.10.2012
Серия: International Series in Operations Research & Management Science
Язык: English
Размер: 234 x 156 x 12
Основная тема: Mathematics
Подзаголовок: Applying Constraint Programming to Scheduling Problems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of the constraints that define the problem to be solved and (2) the algorithms and heuristics enabling the selection of decisions to solve the problem.


Logic-Based 0–1 Constraint Programming

Автор: Peter Barth
Название: Logic-Based 0–1 Constraint Programming
ISBN: 146128564X ISBN-13(EAN): 9781461285649
Издательство: Springer
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Цена: 23757.00 р.
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Описание: A logic view of 0-1 integer programming problems, providing new insights into the structure of problems that can lead the researcher to more effective solution techniques depending on the problem class.

Logic-Based 0–1 Constraint Programming

Автор: Peter Barth
Название: Logic-Based 0–1 Constraint Programming
ISBN: 0792396634 ISBN-13(EAN): 9780792396635
Издательство: Springer
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Цена: 23757.00 р.
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Описание: A logic view of 0-1 integer programming problems, providing insights into the structure of problems that can lead the researcher to more effective solution techniques depending on the problem class. Operations research techniques are integrated into a logic programming environment.

Integration of AI and OR Techniques in Constraint Programming

Автор: Helmut Simonis
Название: Integration of AI and OR Techniques in Constraint Programming
ISBN: 3319070452 ISBN-13(EAN): 9783319070452
Издательство: Springer
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Цена: 11598.00 р.
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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;

Integration of AI and OR Techniques in Constraint Programming

Автор: Domenico Salvagnin; Michele Lombardi
Название: Integration of AI and OR Techniques in Constraint Programming
ISBN: 3319597752 ISBN-13(EAN): 9783319597751
Издательство: Springer
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Цена: 9781.00 р.
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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.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Andrea Lodi; Michela Milano; Paolo Toth
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642135196 ISBN-13(EAN): 9783642135194
Издательство: Springer
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Цена: 10480.00 р.
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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.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Willem-Jan van Hoeve; Elvin Coban
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642019285 ISBN-13(EAN): 9783642019289
Издательство: Springer
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Цена: 9781.00 р.
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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.

Integration of AI and OR Techniques in Constraint Programming

Автор: Claude-Guy Quimper
Название: Integration of AI and OR Techniques in Constraint Programming
ISBN: 3319339532 ISBN-13(EAN): 9783319339535
Издательство: Springer
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Цена: 8944.00 р.
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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.

Global Optimization and Constraint Satisfaction

Автор: Christian Bliek; Christophe Jermann; Arnold Neumai
Название: Global Optimization and Constraint Satisfaction
ISBN: 3540204636 ISBN-13(EAN): 9783540204633
Издательство: Springer
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Цена: 9083.00 р.
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Constraint and Integer Programming

Автор: Michela Milano
Название: Constraint and Integer Programming
ISBN: 146134719X ISBN-13(EAN): 9781461347194
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.

Global Optimization with Non-Convex Constraints

Автор: Roman G. Strongin; Yaroslav D. Sergeyev
Название: Global Optimization with Non-Convex Constraints
ISBN: 0792364902 ISBN-13(EAN): 9780792364900
Издательство: Springer
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Цена: 43184.00 р.
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Описание: Presents a new approach to global non-convex constrained optimization. Problem dimensionality is reduced via space-filling curves and to economize the search, constraint is accounted separately (penalties are not employed). The multicriteria case is also considered.

Optimization with PDE Constraints

Автор: Ronald Hoppe
Название: Optimization with PDE Constraints
ISBN: 331936152X ISBN-13(EAN): 9783319361529
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints.

Control and Optimization with PDE Constraints

Автор: Kristian Bredies; Christian Clason; Karl Kunisch;
Название: Control and Optimization with PDE Constraints
ISBN: 3034807562 ISBN-13(EAN): 9783034807562
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book spans topics from analysis to numerical realization and applications. Covers non-smooth optimization, Hamilton-Jacobi-Bellmann equations, reduced-order models and domain decomposition, control of quantum-dynamical systems and more.


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