This project is entirely coded in GAMA to demonstrate that GAMA can be used to implement algorithms beyond its built-in capabilities.
The Robot Charging Simulation with TSP (Traveling Salesperson Problem) Algorithms project aims to simulate the process of robot charging using various TSP algorithms. The primary goal is to optimize the path taken by robots to reach their charging stations, minimizing the overall distance traveled.
- Implementation of different TSP algorithms in GAMA.
- Simulation of robot movements and charging processes.
- Visualization of the optimized paths for robot charging.
- Customizable parameters for simulation experiments.
- Detailed logging and analysis of simulation results.
- GAMA: The simulation platform used to code and run the algorithms.
- GAML: The programming language used within GAMA for model development.
- Clone the repository:
git clone https://github.com/Thinhvip9999/RobotChargingSimulationwithTSPAlgorithms.git
- Open the project in GAMA.
- Open GAMA and load the project file.
- Configure the simulation parameters as needed.
- Run the simulation to observe the robot charging process using TSP algorithms.
- Analyze the results through the provided visualizations and logs.
Contributions are welcome! Please follow these steps to contribute:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feature-name
- Commit your changes:
git commit -m "Add new feature" - Push to the branch:
git push origin feature-name
- Submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
For more information, please contact the project maintainer at [email protected].
- Thanks to the GAMA development team for providing a robust simulation platform.
- Inspiration from various TSP algorithm research papers and articles.
For more details, visit the GitHub repository.