Welcome to the TSP Models and Algorithms repository! This repository contains various models and algorithms implemented to solve the Traveling Salesman Problem (TSP). I hope you find them useful for your own TSP-related projects and research.
The Traveling Salesman Problem is a classic optimization problem in computer science and operations research. Given a set of cities and the distances between them, the goal is to find the shortest possible route that visits each city exactly once and returns to the starting city.
This repository provides the following resources:
- Models: Implementation of different mathematical models for the TSP, including formulations as linear programming (LP) and mixed-integer programming (MIP) problems.
- Algorithms: Implementation of various algorithms for solving the TSP, such as greedy algorithms, local search heuristics, and metaheuristic approaches.
- Data: Example datasets of cities and their distances, which can be used for testing and experimenting with the models and algorithms.
- Documentation: Detailed documentation and usage instructions for each model and algorithm, along with code examples.
Feel free to explore the code and use it in your own projects. Each model and algorithm is located in its respective directory, and you can find usage instructions and examples in the accompanying documentation.
Contributions to this repository are welcome! If you have implemented additional TSP models or algorithms or have suggestions for improvements, feel free to submit a pull request. We appreciate your contributions to make this repository more comprehensive and valuable for the TSP community.
The code and algorithms provided in this repository are meant for educational and research purposes. While efforts have been made to ensure their correctness and efficiency, no guarantees are made. Use them at your own risk.
I would like to acknowledge the contributions of the open-source community and various academic resources that have helped in the development of the models and algorithms in this repository.
If you have any questions or feedback, please don't hesitate to reach out. Enjoy solving the TSP!