Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems | 5th International Conference, CPAIOR 2008 Paris, France, May 20-23, 2008 Proceedings

Laurent Perron (u. a.)

ISBN 10: 354068154X / ISBN 13: 9783540681540

Editore: Springer, 2008

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems | 5th International Conference, CPAIOR 2008 Paris, France, May 20-23, 2008 Proceedings | Laurent Perron (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2008 | Springer | EAN 9783540681540 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu. Codice articolo 101810837

Riassunto:

This book constitutes the refereed proceedings of the 5th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2008, held in Paris, France, in May 2008. The 18 revised long papers and 22 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 130 submissions. The papers describe current research in the fields of constraint programming, artificial intelligence, and operations research to explore ways of solving large-scale, practical optimization problems through integration and hybridization of the fields' different techniques.

Contenuti: Invited Talks.- Airline Scheduling: Accomplishments, Opportunities and Challenges.- Selected Challenges from Distribution and Commerce in the Airline and Travel Industry.- 30 Years of Constraint Programming.- Long Papers.- Constraint Integer Programming: A New Approach to Integrate CP and MIP.- New Filtering for the Constraint in the Context of Non-Overlapping Rectangles.- Multi-stage Benders Decomposition for Optimizing Multicore Architectures.- Fast and Scalable Domino Portrait Generation.- Gap Reduction Techniques for Online Stochastic Project Scheduling.- Integrating Symmetry, Dominance, and Bound-and-Bound in a Multiple Knapsack Solver.- Cost Propagation – Numerical Propagation for Optimization Problems.- Fitness-Distance Correlation and Solution-Guided Multi-point Constructive Search for CSPs.- Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting.- The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems.- A Novel Approach For Detecting Symmetries in CSP Models.- Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization.- Optimal Deployment of Eventually-Serializable Data Services.- Counting Solutions of Knapsack Constraints.- From High-Level Model to Branch-and-Price Solution in G12.- Simpler and Incremental Consistency Checking and Arc Consistency Filtering Algorithms for the Weighted Spanning Tree Constraint.- Stochastic Satisfiability Modulo Theories for Non-linear Arithmetic.- A Hybrid Constraint Programming / Local Search Approach to the Job-Shop Scheduling Problem.- Short Papers.- Counting Solutions of Integer Programs Using Unrestricted Subtree Detection.- Rapidly Solving an Online Sequence of Maximum Flow Problems with Extensions to Computing Robust Minimum Cuts.- A Hybrid Approach for Solving Shift-Selection and Task-Sequencing Problems.- Solving a Log-Truck Scheduling Problem with Constraint Programming.- Using Local Search to Speed Up Filtering Algorithms for Some NP-Hard Constraints.- Connections in Networks: A Hybrid Approach.- Efficient Haplotype Inference with Combined CP and OR Techniques.- Integration of CP and Compilation Techniques for Instruction Sequence Test Generation.- Propagating Separable Equalities in an MDD Store.- The Weighted Cfg Constraint.- CP with ACO.- A Combinatorial Auction Framework for Solving Decentralized Scheduling Problems (Extended Abstract).- Constraint Optimization and Abstraction for Embedded Intelligent Systems.- A Parallel Macro Partitioning Framework for Solving Mixed Integer Programs.- Guiding Stochastic Search by Dynamic Learning of the Problem Topography.- Hybrid Variants for Iterative Flattening Search.- Global Propagation of Practicability Constraints.- The Polytope of Tree-Structured Binary Constraint Satisfaction Problems.- A Tabu Search Method for Interval Constraints.- The Steel Mill Slab Design Problem Revisited.- Filtering Atmost1 on Pairs of Set Variables.- Extended Abstract.- Mobility Allowance Shuttle Transit (MAST) Services: MIP Formulation and Strengthening with Logic Constraints.

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Titolo: Integration of AI and OR Techniques in ...
Casa editrice: Springer
Data di pubblicazione: 2008
Legatura: Taschenbuch
Condizione: Neu