CSPLIB.ORG

CSPLib: A problem library for constraints

CSPLib: A problem library for constraints. CSPLib is a library of test problems for constraint solvers. The library consists of:. Problems organised by subject area. CSPLib also maintains a list of constraint languages. And the tools which can be used to solve problems in these languages. The main motivation for CSPLib is to focus research in constraints away from purely random problems and onto more structured problems. We currently have 86 problems in 13 categories. Proposed by 66 authors.

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CSPLib: A problem library for constraints | csplib.org Reviews

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CSPLib: A problem library for constraints. CSPLib is a library of test problems for constraint solvers. The library consists of:. Problems organised by subject area. CSPLib also maintains a list of constraint languages. And the tools which can be used to solve problems in these languages. The main motivation for CSPLib is to focus research in constraints away from purely random problems and onto more structured problems. We currently have 86 problems in 13 categories. Proposed by 66 authors.

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CSPLib: A problem library for constraints | csplib.org Reviews

https://csplib.org

CSPLib: A problem library for constraints. CSPLib is a library of test problems for constraint solvers. The library consists of:. Problems organised by subject area. CSPLib also maintains a list of constraint languages. And the tools which can be used to solve problems in these languages. The main motivation for CSPLib is to focus research in constraints away from purely random problems and onto more structured problems. We currently have 86 problems in 13 categories. Proposed by 66 authors.

INTERNAL PAGES

csplib.org

1

List of Languages

http://www.csplib.org/Languages/index.html

This work is licensed under a Creative Commons Attribution 4.0 International License.

2

Problems by each Author

http://www.csplib.org/authors.html

Problems by each Author. Fixed Length Error Correcting Codes. Extremal Graphs with Small Girth. A Distribution Problem with Wagner-Whitin Costs. Maximum density still life. Diameter and Degree Bounded Network Design Problem. Balanced Academic Curriculum Problem (BACP). Diameter and Degree Bounded Network Design Problem. Fixed Length Error Correcting Codes. Prime queen attacking problem. David A. Burke. Minimum Energy Broadcast (MEB). Diameter and Degree Bounded Network Design Problem. Jim Ho Man Lee.

3

Problems in Numerical Order

http://www.csplib.org/Problems

Problems in Numerical Order. Low Autocorrelation Binary Sequences. Magic Squares and Sequences. Balanced Incomplete Block Designs. Prime queen attacking problem. Balanced Academic Curriculum Problem (BACP). Maximum density still life. Word Design for DNA Computing on Surfaces. Fixed Length Error Correcting Codes. Steel Mill Slab Design. A Distribution Problem with Wagner-Whitin Costs. The Covering Array Problem. Minimum Energy Broadcast (MEB). Extremal Graphs with Small Girth. Discrete Lot Sizing Problem.

4

Updates

http://www.csplib.org/updates.html

Balanced Nursing Workload Problem. Generalised Balanced Academic Curriculum Problem. Optimal Financial Portfolio Design. Traveling Tournament Problem with Predefined Venues (TTPPV). Distributed Channel Assignment Problem. Diameter and Degree Bounded Network Design Problem. Target Tracking in Distributed Sensor Network. Peaceably Co-existing Armies of Queens. Discrete Lot Sizing Problem. Magic Squares and Sequences. Maximum density still life. Word Design for DNA Computing on Surfaces.

5

Problems by Category

http://www.csplib.org/Problems/categories.html

A Distribution Problem with Wagner-Whitin Costs. Balanced Nursing Workload Problem. Minimum Energy Broadcast (MEB). Steel Mill Slab Design. Word Design for DNA Computing on Surfaces. Balanced Incomplete Block Designs. Equidistant Frequency Permutation Arrays. Extremal Graphs with Small Girth. Fixed Length Error Correcting Codes. Low Autocorrelation Binary Sequences. Magic Squares and Sequences. Peaceably Co-existing Armies of Queens. Prime queen attacking problem. The Covering Array Problem.

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a4cp.org

Volume 10, Number 2/3, October 2014 | Association for Constraint Programming

http://www.a4cp.org/news/vol10/n3/Oct2014

Skip to main content. Volume 11, Number 1, April-June 2015. Volume 11, Number 0, January 2015. Volume 10, Number 2/3, October 2014. Volume 10, Number 1, April 2014. Volume 10, Number 0, January 2014. Number 3, October 2013. Number 2, July 2013. Number 1, April 2013. Number 0, January 2013. Number 2, July 2012. Number 1, April 2012. Number 0, January 2012. Number 3, October 2011. Number 2, July 2011. Number 1, April 2011. Number 0, January 2011. Number 3, October 2010. Number 2, July 2010. This is the com...

numberjack.ucc.ie

Warehouse Location | Numberjack

http://numberjack.ucc.ie/node/36

Skip to Main Content Area. SEND MORE = MONEY. A Python Constraint Programming platform. SEND MORE = MONEY. Submitted by e.hebrard on September 1, 2009 - 4:37pm. This is an example of solving the warehouse problem with Numberjack and SCIP. In the Warehouse Location problem, a company considers opening warehouses. At some candidate locations in order to supply its existing stores. Each possible warehouse. Has the same maintenance cost, and a capacity designating the maximum number of stores. Col, cap ).

smtlib.cs.uiowa.edu

SMT-LIB The Satisfiability Modulo Theories Library

http://smtlib.cs.uiowa.edu/related.shtml

The Satisfiability Modulo Theories Library. The SMT solver competition. The International Workshop on Satisfiability Modulo Theories. The benchmark repository and execution service current used by SMT-LIB and SMT-COMP. The benchmark repository and execution service previouly used by SMT-LIB and SMT-COMP. This service is no longer active although it still contains historical data. The following sites are related or have similar objectives to those of SMT-LIB. Based on a design by Blue Web Templates.

numberjack.ucc.ie

Golomb Ruler | Numberjack

http://numberjack.ucc.ie/examples/golomb

Skip to Main Content Area. SEND MORE = MONEY. A Python Constraint Programming platform. SEND MORE = MONEY. Submitted by eomahony on August 4, 2009 - 9:05pm. This is an example showing how to solve the Golomb ruler problem using numberjack. The Golomb Ruler problem is the task of putting n marks on a ruler of length m such that the distance between any two pairs of marks is distinct. See prob006 in the CSPLib. Model golomb ruler (. Marks = VarArray (. NbMarks,rulerSize ). Model = Model (. 1,nbMarks ).

krportal.org

KRportal - Resources

http://www.krportal.org/resources

Calendar export of events. Thursday, 19 May 2016. Events are now available as an iCalendar. For subscription and as a Google calendar. For viewing in your web browser. Wednesday, 20 January 2016. Initial content added to the Resources section. Monday, 2 November 2015. The website now features a deadline timeline on the right-hand side. This page lists pages on the web relevant for KR researchers and grouped by categories. You can suggest new resources to be added by filling out the corresponding form.

a4cp.org

Events | Association for Constraint Programming

http://www.a4cp.org/news/events

Skip to main content. Volume 11, Number 1, April-June 2015. Volume 11, Number 0, January 2015. Volume 10, Number 2/3, October 2014. Volume 10, Number 1, April 2014. Volume 10, Number 0, January 2014. Number 3, October 2013. Number 2, July 2013. Number 1, April 2013. Number 0, January 2013. Number 2, July 2012. Number 1, April 2012. Number 0, January 2012. Number 3, October 2011. Number 2, July 2011. Number 1, April 2011. Number 0, January 2011. Number 3, October 2010. Number 2, July 2010. Learn a new way...

numberjack.ucc.ie

Magic Square | Numberjack

http://numberjack.ucc.ie/examples/magicsquare

Skip to Main Content Area. SEND MORE = MONEY. A Python Constraint Programming platform. SEND MORE = MONEY. Submitted by eomahony on August 4, 2009 - 8:53pm. This is an example of using Numberjack to solve a magic square problem. A magic square is an n x n square where every row, column and the two diagonals all sum to the same value. See prob019 in the CSPLib. Model magic square (. Sum val = N *. This is what all the columns, rows and diagonals must add up tp. Square = Matrix (. Model = Model (. A,a ].

numberjack.ucc.ie

Langford's number | Numberjack

http://numberjack.ucc.ie/node/28

Skip to Main Content Area. SEND MORE = MONEY. A Python Constraint Programming platform. SEND MORE = MONEY. Submitted by e.hebrard on August 13, 2009 - 8:22pm. This is an example of solving the Langford's number problem with Numberjack. Model langford sequence (. M,N ). X = [. I 2 ). Model = Model (. I 2 ). X,model ). Compute langford number (. X,model ). Model langford sequence (. Solver = model. load. Langford number = 0. Langford number = 1. M,X ). Sequence = [. I 2 ). I 1 ). View Source on Github.

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csplib.org

CSPLib: A problem library for constraints

CSPLib: A problem library for constraints. CSPLib is a library of test problems for constraint solvers. The library consists of:. Problems organised by subject area. CSPLib also maintains a list of constraint languages. And the tools which can be used to solve problems in these languages. The main motivation for CSPLib is to focus research in constraints away from purely random problems and onto more structured problems. We currently have 86 problems in 13 categories. Proposed by 66 authors.

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