solverarena 0.1

A library to run and compare optimization models

Arena Solver

Arena Solver is an open-source library designed to facilitate the performance comparison of different solvers in optimization problems. The library abstracts the implementation of solvers, allowing users to input a list of MPS files and choose the desired solvers with their respective parameters.

Installation

For now, the library is available on GitHub. To install it, use the following command:

pipenv install git+https://github.com/pataq21/SolverArena.git

Usage

To use the library, you can refer to the example folder, which contains a basic implementation. Here is an example of how to use arena_solver:

from arena_solver import run_models

# Define the list of MPS files and solvers
mps_files = ['path/to/model1.mps', 'path/to/model2.mps']
solvers = ['solver1', 'solver2']
parameters = {
    "solver1": {
        "presolve": "on",
        "pdlp_native_termination": True,
        "solver": "pdlp",
    },
}

# Run the models
results = run_models(mps_files, solvers, parameters)
print(results)

Main Functions

run_models: Executes multiple solvers on MPS files and save performance results as csv.

Contributions

Contributions are welcome. If you would like to contribute, please open an issue or a pull request on the GitHub repository.

License

This library is licensed under the MIT License.