# wta
**Repository Path**: ywcao/wta
## Basic Information
- **Project Name**: wta
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-01
- **Last Updated**: 2025-10-01
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Branch-and-adjust for a nonlinear Assignment Problem
Written by **TĂșlio Toffolo** and **Konstantin Pavlikov**.
Please address all contributions, suggestions, and inquiries to the current project administrator.
### More information
This repository contains a solver for the Weapon-Target Assignment Problem (WTA).
The developed approach is detailed in the following [article](https://link.springer.com/article/10.1007/s10479-022-04525-6):
```bib
@article{AndersenPavlikovToffolo2020,
author = {Andersen, Alexandre Colaers and Pavlikov, Konstantin and Toffolo, T{\'u}lio A. M.},
date = {2022/01/13},
doi = {10.1007/s10479-022-04525-6},
isbn = {1572-9338},
journal = {Annals of Operations Research},
title = {Weapon-target assignment problem: exact and approximate solution algorithms},
url = {https://doi.org/10.1007/s10479-022-04525-6},
year = {2022},
bdsk-url-1 = {https://doi.org/10.1007/s10479-022-04525-6}}
}
```
To cite the code, please use the bibtex above.
### Usage:
```text
Usage: python3 wta_cplex.py [options]
: Path of the problem input file.
Options:
-approach : selected approach/formulation to execute; possible values are:
{branch-and-adjust, probchain, underapprox, upperapprox}
(default: branch-and-adjust).
-branching : branching strategy from {cplex, probabilities} (default: probabilities).
-delta : delta value (default: 0.001).
-emphasis : cplex search emphasis (default: 3).
-output