golomb-solver
python-mip
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golomb-solver | python-mip | |
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1 | 1 | |
5 | 504 | |
- | 2.4% | |
0.0 | 7.1 | |
10 months ago | about 2 months ago | |
Scala | Python | |
- | Eclipse Public License 2.0 |
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golomb-solver
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Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
CPLEX (by IBM). The documentation can be a bit thin sometimes. But its fast. Most benchmarks place it ahead of the google cloud products.
For fun I made this Golomb ruler solver using cplex: https://github.com/strateos/golomb-solver
python-mip
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Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
I've been using CBC via python-mip (https://github.com/coin-or/python-mip). It's great because it's got a super clean interface (milp variables/expressions/constraints), the code is quite accessible, and it's low overhead which makes it good for solving many very small problems.
Community sentiment seems to be beginning to shift toward favouring the HiGHS solver (https://github.com/ERGO-Code/HiGHS) over CBC. Something I'm keeping a close eye on.
nextmv seems to pitch itself as a generic solving ("decision automation") platform or something (unclear). But it seems that the only fleshed out product offering is for vehicle routing, based on the docs. Are there plans to offer, for instance, a solver binary that can be used to solve generic problems?
Also all the github repos under https://github.com/nextmv-io are private, so links from docs are 404.
What are some alternatives?
HiGHS - Linear optimization software
or-tools - Google's Operations Research tools:
osqp - The Operator Splitting QP Solver
SciPy - SciPy library main repository
optaplanner-quickstarts - Mirror of https://github.com/apache/incubator-kie-optaplanner-quickstarts
csips - A pure-python integer programming solver
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽
clpz - Constraint Logic Programming over Integers
minizinc-python - Access to all MiniZinc functionality directly from Python
meal-scheduler
exact