List of Implementations for common OR problemsSolving ATSP problem for large-scale problemOpen source Markov decision process solversBenchmark problems for scenario-based stochastic optimizationJava source code for branch and priceSupply Chain Public Data RepositoryAlgorithmic gap for Hochbaum's (greedy) algorithm for (metric) uncapacitated facility locationQA techniques for optimization problem codingMathematically creating the 'perfect' permutation for reservations in a hostelMany-to-many Breadth First SearchCapacitated VRP-TW: Gehring & Homberger instances
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List of Implementations for common OR problems
Solving ATSP problem for large-scale problemOpen source Markov decision process solversBenchmark problems for scenario-based stochastic optimizationJava source code for branch and priceSupply Chain Public Data RepositoryAlgorithmic gap for Hochbaum's (greedy) algorithm for (metric) uncapacitated facility locationQA techniques for optimization problem codingMathematically creating the 'perfect' permutation for reservations in a hostelMany-to-many Breadth First SearchCapacitated VRP-TW: Gehring & Homberger instances
$begingroup$
For the TSP there famously is the concord solver (http://www.math.uwaterloo.ca/tsp/concorde.html) which is argubly the fastest exact solver for the TSP.
There are many other problems that also show up again and again, for example the capacitated vehicle routing problem (CVRP). CVRP can be solved very efficiently using branch and price, and there are many papers, on the fastest current methodes and how they can incorporate different constraints (e.g. time windows). However, i was unable to find any available implementation.
So I wonder, are there some good implementations of the state of the art for other problems than the TSP? Is there a list of such implementations and if not, can we create one?
algorithms online-resources software vehicle-routing implementation
$endgroup$
add a comment |
$begingroup$
For the TSP there famously is the concord solver (http://www.math.uwaterloo.ca/tsp/concorde.html) which is argubly the fastest exact solver for the TSP.
There are many other problems that also show up again and again, for example the capacitated vehicle routing problem (CVRP). CVRP can be solved very efficiently using branch and price, and there are many papers, on the fastest current methodes and how they can incorporate different constraints (e.g. time windows). However, i was unable to find any available implementation.
So I wonder, are there some good implementations of the state of the art for other problems than the TSP? Is there a list of such implementations and if not, can we create one?
algorithms online-resources software vehicle-routing implementation
$endgroup$
1
$begingroup$
I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
$endgroup$
– Luke599999
Jul 1 at 8:15
1
$begingroup$
including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
$endgroup$
– Michael Feldmeier
Jul 1 at 15:21
1
$begingroup$
@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
$endgroup$
– Luke599999
Jul 2 at 12:17
add a comment |
$begingroup$
For the TSP there famously is the concord solver (http://www.math.uwaterloo.ca/tsp/concorde.html) which is argubly the fastest exact solver for the TSP.
There are many other problems that also show up again and again, for example the capacitated vehicle routing problem (CVRP). CVRP can be solved very efficiently using branch and price, and there are many papers, on the fastest current methodes and how they can incorporate different constraints (e.g. time windows). However, i was unable to find any available implementation.
So I wonder, are there some good implementations of the state of the art for other problems than the TSP? Is there a list of such implementations and if not, can we create one?
algorithms online-resources software vehicle-routing implementation
$endgroup$
For the TSP there famously is the concord solver (http://www.math.uwaterloo.ca/tsp/concorde.html) which is argubly the fastest exact solver for the TSP.
There are many other problems that also show up again and again, for example the capacitated vehicle routing problem (CVRP). CVRP can be solved very efficiently using branch and price, and there are many papers, on the fastest current methodes and how they can incorporate different constraints (e.g. time windows). However, i was unable to find any available implementation.
So I wonder, are there some good implementations of the state of the art for other problems than the TSP? Is there a list of such implementations and if not, can we create one?
algorithms online-resources software vehicle-routing implementation
algorithms online-resources software vehicle-routing implementation
edited Jul 3 at 9:14
TheSimpliFire
9093 silver badges25 bronze badges
9093 silver badges25 bronze badges
asked Jul 1 at 8:11
Luke599999Luke599999
11111 bronze badges
11111 bronze badges
1
$begingroup$
I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
$endgroup$
– Luke599999
Jul 1 at 8:15
1
$begingroup$
including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
$endgroup$
– Michael Feldmeier
Jul 1 at 15:21
1
$begingroup$
@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
$endgroup$
– Luke599999
Jul 2 at 12:17
add a comment |
1
$begingroup$
I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
$endgroup$
– Luke599999
Jul 1 at 8:15
1
$begingroup$
including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
$endgroup$
– Michael Feldmeier
Jul 1 at 15:21
1
$begingroup$
@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
$endgroup$
– Luke599999
Jul 2 at 12:17
1
1
$begingroup$
I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
$endgroup$
– Luke599999
Jul 1 at 8:15
$begingroup$
I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
$endgroup$
– Luke599999
Jul 1 at 8:15
1
1
$begingroup$
including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
$endgroup$
– Michael Feldmeier
Jul 1 at 15:21
$begingroup$
including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
$endgroup$
– Michael Feldmeier
Jul 1 at 15:21
1
1
$begingroup$
@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
$endgroup$
– Luke599999
Jul 2 at 12:17
$begingroup$
@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
$endgroup$
– Luke599999
Jul 2 at 12:17
add a comment |
5 Answers
5
active
oldest
votes
$begingroup$
Let's make an inventory of example code for each common OR problem?
Vehicle Routing Problem
- Jsprit: many rich problem types. source code - company website. (Desktop-based open source application built around it ODL Studio).
- OptaPlanner: explanation + video's - source code (capacitated, time windows, multiple depots)
LocalSolver: explanation + source code (same with time windows)
OR-tools: explanation + source code
- COIN-OR tools: TODO
- OscaR: TODO
Nurse Rostering problem- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Conference Scheduling- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Course Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Exam Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Job Shop scheduling- OptaPlanner: source code of variant
- LocalSolver: explanation + source code
- OptaPlanner: source code of variant
Knapsack- LocalSolver: explanation + source code
- OR-Tools: explanation + source code
- LocalSolver: explanation + source code
Assembly Line Balancing Problem- SALOME Branch & Bound Algorithm:explanation + source code
- Branch & Bound & Remember Algorithm: explanation + source code
P-median site location- Territorium: source code, UI. Does capacitated clustering for both min and max quantity range using heuristics.
I've made this post a wiki: please add common OR problems and/or implementations.
$endgroup$
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
add a comment |
$begingroup$
A good place to start is COIN-OR, which aims to "create for mathematical software what the open literature is for mathematical theory".
You can also take a look at Google's OR-Tools. It contains many algorithms for specific problems (like knapsack or max flow) and also generic LP and CP solvers.
$endgroup$
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
add a comment |
$begingroup$
I would, for everything knapsack-like, always go to David Pisingers homepage. Here you can find very efficient codes for knapsack problems (COMBO), multiple-choice knapsack problems (Mcknap), and quadratick knapsack problems (quadknap) among others.
I don't know if it qualifies as a "common OR problem" but for linear vector optimization (and therefore also linear multi-objective optimization) there is the BENSOLVE solver.
$endgroup$
add a comment |
$begingroup$
For assembly line balancing problem, test problems, codes for several versions of problem and useful resources can be found at https://assembly-line-balancing.de.
New contributor
$endgroup$
add a comment |
$begingroup$
I am sorry to advertise our own VRP solver, but may be it is what you are looking for:
https://vrpsolver.math.u-bordeaux.fr/
For knapsack, Pisinger's code is the best (mentioned above), however integer knapsack code there has a bug. I only use 0-1 knapsack code, it is reliable.
For bin packing, this nice paper has links to several available solvers: https://doi.org/10.1016/j.ejor.2016.04.030
For (weighted) maximum clique (minimum stable set), Ostergard's code is very good: https://users.aalto.fi/~pat/cliquer.html
Although, it may not be state-of-the-art anymore.
New contributor
$endgroup$
add a comment |
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5 Answers
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5 Answers
5
active
oldest
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active
oldest
votes
$begingroup$
Let's make an inventory of example code for each common OR problem?
Vehicle Routing Problem
- Jsprit: many rich problem types. source code - company website. (Desktop-based open source application built around it ODL Studio).
- OptaPlanner: explanation + video's - source code (capacitated, time windows, multiple depots)
LocalSolver: explanation + source code (same with time windows)
OR-tools: explanation + source code
- COIN-OR tools: TODO
- OscaR: TODO
Nurse Rostering problem- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Conference Scheduling- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Course Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Exam Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Job Shop scheduling- OptaPlanner: source code of variant
- LocalSolver: explanation + source code
- OptaPlanner: source code of variant
Knapsack- LocalSolver: explanation + source code
- OR-Tools: explanation + source code
- LocalSolver: explanation + source code
Assembly Line Balancing Problem- SALOME Branch & Bound Algorithm:explanation + source code
- Branch & Bound & Remember Algorithm: explanation + source code
P-median site location- Territorium: source code, UI. Does capacitated clustering for both min and max quantity range using heuristics.
I've made this post a wiki: please add common OR problems and/or implementations.
$endgroup$
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
add a comment |
$begingroup$
Let's make an inventory of example code for each common OR problem?
Vehicle Routing Problem
- Jsprit: many rich problem types. source code - company website. (Desktop-based open source application built around it ODL Studio).
- OptaPlanner: explanation + video's - source code (capacitated, time windows, multiple depots)
LocalSolver: explanation + source code (same with time windows)
OR-tools: explanation + source code
- COIN-OR tools: TODO
- OscaR: TODO
Nurse Rostering problem- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Conference Scheduling- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Course Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Exam Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Job Shop scheduling- OptaPlanner: source code of variant
- LocalSolver: explanation + source code
- OptaPlanner: source code of variant
Knapsack- LocalSolver: explanation + source code
- OR-Tools: explanation + source code
- LocalSolver: explanation + source code
Assembly Line Balancing Problem- SALOME Branch & Bound Algorithm:explanation + source code
- Branch & Bound & Remember Algorithm: explanation + source code
P-median site location- Territorium: source code, UI. Does capacitated clustering for both min and max quantity range using heuristics.
I've made this post a wiki: please add common OR problems and/or implementations.
$endgroup$
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
add a comment |
$begingroup$
Let's make an inventory of example code for each common OR problem?
Vehicle Routing Problem
- Jsprit: many rich problem types. source code - company website. (Desktop-based open source application built around it ODL Studio).
- OptaPlanner: explanation + video's - source code (capacitated, time windows, multiple depots)
LocalSolver: explanation + source code (same with time windows)
OR-tools: explanation + source code
- COIN-OR tools: TODO
- OscaR: TODO
Nurse Rostering problem- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Conference Scheduling- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Course Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Exam Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Job Shop scheduling- OptaPlanner: source code of variant
- LocalSolver: explanation + source code
- OptaPlanner: source code of variant
Knapsack- LocalSolver: explanation + source code
- OR-Tools: explanation + source code
- LocalSolver: explanation + source code
Assembly Line Balancing Problem- SALOME Branch & Bound Algorithm:explanation + source code
- Branch & Bound & Remember Algorithm: explanation + source code
P-median site location- Territorium: source code, UI. Does capacitated clustering for both min and max quantity range using heuristics.
I've made this post a wiki: please add common OR problems and/or implementations.
$endgroup$
Let's make an inventory of example code for each common OR problem?
Vehicle Routing Problem
- Jsprit: many rich problem types. source code - company website. (Desktop-based open source application built around it ODL Studio).
- OptaPlanner: explanation + video's - source code (capacitated, time windows, multiple depots)
LocalSolver: explanation + source code (same with time windows)
OR-tools: explanation + source code
- COIN-OR tools: TODO
- OscaR: TODO
Nurse Rostering problem- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Conference Scheduling- OptaPlanner: explanation + video's - source code
- OptaPlanner: explanation + video's - source code
Course Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Exam Scheduling- OptaPlanner: source code
- OptaPlanner: source code
Job Shop scheduling- OptaPlanner: source code of variant
- LocalSolver: explanation + source code
- OptaPlanner: source code of variant
Knapsack- LocalSolver: explanation + source code
- OR-Tools: explanation + source code
- LocalSolver: explanation + source code
Assembly Line Balancing Problem- SALOME Branch & Bound Algorithm:explanation + source code
- Branch & Bound & Remember Algorithm: explanation + source code
P-median site location- Territorium: source code, UI. Does capacitated clustering for both min and max quantity range using heuristics.
I've made this post a wiki: please add common OR problems and/or implementations.
edited 1 hour ago
community wiki
9 revs, 4 users 49%
Geoffrey De Smet
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
add a comment |
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
2
2
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
$begingroup$
given the diverse nature of solution algorithms, I suggest adding a short hint to each link (metaheuristic, heuristic, approximation, global)
$endgroup$
– Michael Feldmeier
Jul 2 at 13:43
add a comment |
$begingroup$
A good place to start is COIN-OR, which aims to "create for mathematical software what the open literature is for mathematical theory".
You can also take a look at Google's OR-Tools. It contains many algorithms for specific problems (like knapsack or max flow) and also generic LP and CP solvers.
$endgroup$
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
add a comment |
$begingroup$
A good place to start is COIN-OR, which aims to "create for mathematical software what the open literature is for mathematical theory".
You can also take a look at Google's OR-Tools. It contains many algorithms for specific problems (like knapsack or max flow) and also generic LP and CP solvers.
$endgroup$
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
add a comment |
$begingroup$
A good place to start is COIN-OR, which aims to "create for mathematical software what the open literature is for mathematical theory".
You can also take a look at Google's OR-Tools. It contains many algorithms for specific problems (like knapsack or max flow) and also generic LP and CP solvers.
$endgroup$
A good place to start is COIN-OR, which aims to "create for mathematical software what the open literature is for mathematical theory".
You can also take a look at Google's OR-Tools. It contains many algorithms for specific problems (like knapsack or max flow) and also generic LP and CP solvers.
answered Jul 1 at 8:50
mrBenmrBen
1817 bronze badges
1817 bronze badges
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
add a comment |
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
1
1
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
FYI: In an evaluation that two of my students did, LocalSolver performed better at CVRPs than Google's OR-Tools.
$endgroup$
– Simon
Jul 1 at 11:46
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon Any chance you could have them benchmark OptaPlanner too (with Nearby Selection and Multithreaded Incremental Solving turned on). A big customer stated that it also beat Google OR tools (and 2 other vendors) significantly on their big VRPTW's. YMMV, of course.
$endgroup$
– Geoffrey De Smet
Jul 1 at 21:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
$begingroup$
@Simon, By "implementation" I've understood "with source code available". But you're right, LocalSolver perform well on many kind of problems, in particular VRPs.
$endgroup$
– mrBen
Jul 2 at 8:13
add a comment |
$begingroup$
I would, for everything knapsack-like, always go to David Pisingers homepage. Here you can find very efficient codes for knapsack problems (COMBO), multiple-choice knapsack problems (Mcknap), and quadratick knapsack problems (quadknap) among others.
I don't know if it qualifies as a "common OR problem" but for linear vector optimization (and therefore also linear multi-objective optimization) there is the BENSOLVE solver.
$endgroup$
add a comment |
$begingroup$
I would, for everything knapsack-like, always go to David Pisingers homepage. Here you can find very efficient codes for knapsack problems (COMBO), multiple-choice knapsack problems (Mcknap), and quadratick knapsack problems (quadknap) among others.
I don't know if it qualifies as a "common OR problem" but for linear vector optimization (and therefore also linear multi-objective optimization) there is the BENSOLVE solver.
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I would, for everything knapsack-like, always go to David Pisingers homepage. Here you can find very efficient codes for knapsack problems (COMBO), multiple-choice knapsack problems (Mcknap), and quadratick knapsack problems (quadknap) among others.
I don't know if it qualifies as a "common OR problem" but for linear vector optimization (and therefore also linear multi-objective optimization) there is the BENSOLVE solver.
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I would, for everything knapsack-like, always go to David Pisingers homepage. Here you can find very efficient codes for knapsack problems (COMBO), multiple-choice knapsack problems (Mcknap), and quadratick knapsack problems (quadknap) among others.
I don't know if it qualifies as a "common OR problem" but for linear vector optimization (and therefore also linear multi-objective optimization) there is the BENSOLVE solver.
edited Jul 2 at 11:30
answered Jul 1 at 12:16
SuneSune
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For assembly line balancing problem, test problems, codes for several versions of problem and useful resources can be found at https://assembly-line-balancing.de.
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For assembly line balancing problem, test problems, codes for several versions of problem and useful resources can be found at https://assembly-line-balancing.de.
New contributor
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add a comment |
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For assembly line balancing problem, test problems, codes for several versions of problem and useful resources can be found at https://assembly-line-balancing.de.
New contributor
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For assembly line balancing problem, test problems, codes for several versions of problem and useful resources can be found at https://assembly-line-balancing.de.
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answered Jul 3 at 8:00
kur agkur ag
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I am sorry to advertise our own VRP solver, but may be it is what you are looking for:
https://vrpsolver.math.u-bordeaux.fr/
For knapsack, Pisinger's code is the best (mentioned above), however integer knapsack code there has a bug. I only use 0-1 knapsack code, it is reliable.
For bin packing, this nice paper has links to several available solvers: https://doi.org/10.1016/j.ejor.2016.04.030
For (weighted) maximum clique (minimum stable set), Ostergard's code is very good: https://users.aalto.fi/~pat/cliquer.html
Although, it may not be state-of-the-art anymore.
New contributor
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add a comment |
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I am sorry to advertise our own VRP solver, but may be it is what you are looking for:
https://vrpsolver.math.u-bordeaux.fr/
For knapsack, Pisinger's code is the best (mentioned above), however integer knapsack code there has a bug. I only use 0-1 knapsack code, it is reliable.
For bin packing, this nice paper has links to several available solvers: https://doi.org/10.1016/j.ejor.2016.04.030
For (weighted) maximum clique (minimum stable set), Ostergard's code is very good: https://users.aalto.fi/~pat/cliquer.html
Although, it may not be state-of-the-art anymore.
New contributor
$endgroup$
add a comment |
$begingroup$
I am sorry to advertise our own VRP solver, but may be it is what you are looking for:
https://vrpsolver.math.u-bordeaux.fr/
For knapsack, Pisinger's code is the best (mentioned above), however integer knapsack code there has a bug. I only use 0-1 knapsack code, it is reliable.
For bin packing, this nice paper has links to several available solvers: https://doi.org/10.1016/j.ejor.2016.04.030
For (weighted) maximum clique (minimum stable set), Ostergard's code is very good: https://users.aalto.fi/~pat/cliquer.html
Although, it may not be state-of-the-art anymore.
New contributor
$endgroup$
I am sorry to advertise our own VRP solver, but may be it is what you are looking for:
https://vrpsolver.math.u-bordeaux.fr/
For knapsack, Pisinger's code is the best (mentioned above), however integer knapsack code there has a bug. I only use 0-1 knapsack code, it is reliable.
For bin packing, this nice paper has links to several available solvers: https://doi.org/10.1016/j.ejor.2016.04.030
For (weighted) maximum clique (minimum stable set), Ostergard's code is very good: https://users.aalto.fi/~pat/cliquer.html
Although, it may not be state-of-the-art anymore.
New contributor
New contributor
answered 17 hours ago
Ruslan SadykovRuslan Sadykov
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I saw the "Why is the programming code of many algorithms not public in the OR community?" and i think, this is not about sharing the code, but rather the executables.
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– Luke599999
Jul 1 at 8:15
1
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including heuristic, metaheuristic, and approximation approaches? or just implementations that are guaranteed to solve the problem globally?
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– Michael Feldmeier
Jul 1 at 15:21
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@MichaelFeldmeier I was originally mostly interested in optimal solutions, but i think state of the art can certainly include approximation and (meta-)heuristic approches.
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– Luke599999
Jul 2 at 12:17