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Implementation of the Biogeography-Based Optimization (BBO) algorithm to solve the Traveling Salesman Problem (TSP)

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C_TSPBBO

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C_TSPBBO - Biogeography-Based Optimization for Traveling Salesman Problem

Welcome to the C_TSPBBO project! This implementation focuses on utilizing the Biogeography-Based Optimization (BBO) algorithm to solve the Traveling Salesman Problem (TSP) using the C programming language.

Overview

This project addresses the challenge of solving the Traveling Salesman Problem (TSP) through the implementation of the Biogeography-Based Optimization (BBO) algorithm. The goal is to find an optimal solution for the TSP using the efficient capabilities of the BBO algorithm.

Files and Folders

  • TSPBBO.c: Contains the source code for the implementation of the BBO algorithm for TSP.
  • TSPBBO.exe: Executable file generated after compiling the C code.
  • TSPBBO.lnk: Shortcut file for quick access to the executable.

How to Use with Dev C++

  1. Open Dev C++ and create a new project.

  2. Copy and paste the content of TSPBBO.c into the source file of your Dev C++ project.

  3. Compile the code by selecting "Compile & Run" or pressing F11.

  4. Observe the output and results related to the Traveling Salesman Problem.

License

This project is licensed under the [Your License Name] License - see the LICENSE file for details.

About the Author

© by Walid BOUSSOU 🇲🇦 😄

Contributions

If you'd like to contribute to the project, please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/your-feature).
  3. Commit your changes (git commit -m 'Add some feature').
  4. Push to the branch (git push origin feature/your-feature).
  5. Open a pull request.

Issues

If you encounter any issues or have suggestions, please open an issue on the Issues page.

Thank you for exploring the C_TSPBBO project! 🚀


 
© by Walid BOUSSOU  🇲🇦 😄
 


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