main.py: Entry point for running simulations. Coordinates the setup, execution, and visualization of drone activities within the environment.
grid.py: Defines the simulation's environment. The grid includes features like obstacles and pheromones, simulating real-world conditions the drones may encounter.
drone.py: Models individual drone behavior. Includes properties such as position and methods for movement and interaction with the grid.
Dockerfile: Configures the Python environment for running the simulation, ensuring consistency across different setups.
docker-compose.yml: Facilitates deployment of the simulation, allowing for easy scaling and integration with other services.

Ensure Docker and Docker Compose are installed on your system.
Clone the project repository to your local machine.
Navigate to the project directory and build the Docker container:

docker-compose up --build

The simulation will run inside the container, with output and visualizations indicating the drones' performance and behavior within the simulated disaster recovery environment.