Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319180076, 9783319180083

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Combining Constraint Propagation and Discrete Ellipsoid-Based Search to Solve the Exact Quadratic Knapsack Problem

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_16 ◽

2015 ◽

pp. 231-239 ◽

Cited By ~ 1

Author(s):

Wen-Yang Ku ◽

J. Christopher Beck

Keyword(s):

Knapsack Problem ◽

Constraint Propagation ◽

Quadratic Knapsack Problem ◽

Quadratic Knapsack

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Embedding Decision Trees and Random Forests in Constraint Programming

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_6 ◽

2015 ◽

pp. 74-90 ◽

Cited By ~ 7

Author(s):

Alessio Bonfietti ◽

Michele Lombardi ◽

Michela Milano

Keyword(s):

Decision Trees ◽

Random Forests ◽

Constraint Programming

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MaxSAT-Based Cutting Planes for Learning Graphical Models

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_24 ◽

2015 ◽

pp. 347-356 ◽

Cited By ~ 5

Author(s):

Paul Saikko ◽

Brandon Malone ◽

Matti Järvisalo

Keyword(s):

Graphical Models ◽

Cutting Planes ◽

Learning Graphical Models

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Constraint-Based Sequence Mining Using Constraint Programming

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_20 ◽

2015 ◽

pp. 288-305 ◽

Cited By ~ 21

Author(s):

Benjamin Negrevergne ◽

Tias Guns

Keyword(s):

Constraint Programming ◽

Sequence Mining

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A Multistage Stochastic Programming Approach to the Dynamic and Stochastic VRPTW

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_25 ◽

2015 ◽

pp. 357-374 ◽

Cited By ~ 6

Author(s):

Michael Saint-Guillain ◽

Yves Deville ◽

Christine Solnon

Keyword(s):

Stochastic Programming ◽

Programming Approach ◽

Multistage Stochastic Programming

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A Comparative Study of MIP and CP Formulations for the B2B Scheduling Optimization Problem

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_21 ◽

2015 ◽

pp. 306-321

Author(s):

Gilles Pesant ◽

Gregory Rix ◽

Louis-Martin Rousseau

Keyword(s):

Comparative Study ◽

Optimization Problem ◽

Scheduling Optimization

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ILP and CP Formulations for the Lazy Bureaucrat Problem

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_18 ◽

2015 ◽

pp. 255-270 ◽

Cited By ~ 2

Author(s):

Fabio Furini ◽

Ivana Ljubić ◽

Markus Sinnl

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Enhancing MIP Branching Decisions by Using the Sample Variance of Pseudo Costs

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_14 ◽

2015 ◽

pp. 199-214

Author(s):

Gregor Hendel

Keyword(s):

Sample Variance

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Learning Value Heuristics for Constraint Programming

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_8 ◽

2015 ◽

pp. 108-123 ◽

Cited By ~ 8

Author(s):

Geoffrey Chu ◽

Peter J. Stuckey

Keyword(s):

Constraint Programming

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Constraint-Based Local Search for Golomb Rulers

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18008-3_22 ◽

2015 ◽

pp. 322-331 ◽

Cited By ~ 4

Author(s):

M. M. Alam Polash ◽

M. A. Hakim Newton ◽

Abdul Sattar

Keyword(s):

Local Search ◽

Golomb Rulers

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Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Combining Constraint Propagation and Discrete Ellipsoid-Based Search to Solve the Exact Quadratic Knapsack Problem

Embedding Decision Trees and Random Forests in Constraint Programming

MaxSAT-Based Cutting Planes for Learning Graphical Models

Constraint-Based Sequence Mining Using Constraint Programming

A Multistage Stochastic Programming Approach to the Dynamic and Stochastic VRPTW

A Comparative Study of MIP and CP Formulations for the B2B Scheduling Optimization Problem

ILP and CP Formulations for the Lazy Bureaucrat Problem

Enhancing MIP Branching Decisions by Using the Sample Variance of Pseudo Costs

Learning Value Heuristics for Constraint Programming

Constraint-Based Local Search for Golomb Rulers

Integration of AI and OR Techniques in Constraint Programming - Lecture Notes in Computer Science
Latest Publications