minizinc-python
yuck
| minizinc-python | yuck | |
|---|---|---|
| 3 | 1 | |
| 132 | 53 | |
| 1.5% | - | |
| 8.4 | 7.8 | |
| 7 days ago | 3 months ago | |
| Python | Scala | |
| Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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minizinc-python
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Matrix / 2d Array Puzzle-Like Problem
Now, you say you need to solve this using Python. I would personally either use the MiniZinc Python driver or I would use the OR-Tools Python package and write a similar model to the one above.
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Discrete optimization for on-call scheduling
Btw, MiniZinc team recently released a python binding https://github.com/MiniZinc/minizinc-python which is quite nice to use.
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Constraint Programming in Python or How to Solve Traveling Salesman Problem just Describing it.
minizinc-python solves the second issue, by providing the way to call minizinc models from python, the library will run minizinc, serialize your input and parse output, but the programmer still should write quite a lot lines of code. We can look at the example of solving square equation solving:
yuck
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OptaPlanner VS yuck - a user suggested alternative
2 projects | 25 May 2022
Yuck is a local-search constraint solver with FlatZinc interface
What are some alternatives?
kanren - An extensible, lightweight relational/logic programming DSL written in pure Python
OptaPlanner - Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
solver - SAT solver library in Go; wraps around Google's Operational Research Tools
python-mip - Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
TheAlgorithms - All Algorithms implemented in Python
Simplex_Numpy - Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽
sdk.py - Python optimization SDK
or-tools - Google's Operations Research tools:
Optimization-Python - General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python