Ebook: Constraint and Integer Programming: Toward a Unified Methodology
- Tags: Artificial Intelligence (incl. Robotics), Optimization, Theory of Computation, Operation Research/Decision Theory
- Series: Operations Research/Computer Science Interfaces Series 27
- Year: 2004
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xxxi
Constraint and Integer Programming....Pages 1-31
Two Generic Schemes for Efficient and Robust Cooperative Algorithms....Pages 33-57
Branch-and-Infer: A Framework for Combining CP and IP....Pages 59-87
Global Constraints and Filtering Algorithms....Pages 89-135
Exploiting Relaxations in CP....Pages 137-167
Hybrid Problem Solving in ECLiPSe....Pages 169-206
CP Based Branch-and-Price....Pages 207-231
Randomized Backtrack Search....Pages 233-291
Local Search and Constraint Programming....Pages 293-329
Open Perspectives....Pages 331-365
Back Matter....Pages 367-370
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.
Content:
Front Matter....Pages i-xxxi
Constraint and Integer Programming....Pages 1-31
Two Generic Schemes for Efficient and Robust Cooperative Algorithms....Pages 33-57
Branch-and-Infer: A Framework for Combining CP and IP....Pages 59-87
Global Constraints and Filtering Algorithms....Pages 89-135
Exploiting Relaxations in CP....Pages 137-167
Hybrid Problem Solving in ECLiPSe....Pages 169-206
CP Based Branch-and-Price....Pages 207-231
Randomized Backtrack Search....Pages 233-291
Local Search and Constraint Programming....Pages 293-329
Open Perspectives....Pages 331-365
Back Matter....Pages 367-370
....
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