CS201_PROJECT

SCREENSHOT

Method 1: Terminal Only

1. Step 1: Open the command prompt/terminal. Go inside the terminal folder.

2. Step 2: Compile the project using the following command:

   g++ -Wall *.cpp -o aco

   • g++: Denotes the compiler used (GNU compiler).
   • -Wall: Enables all warnings.
   • *.cpp: Compiles all the files inside the src folder.
   • -o aco: Specifies the output file name.

3. Step 3: Provide the points in the points.txt file in the format x y, and the result will also be stored in result.txt.

4. Step 4: Run the executable using:

   start aco.exe

5. Step 5: The program will ask you for the number of iterations, the number of ants, and the number of cities. It will then build a complete graph.

6. Step 6: The program will give you the most optimal route.

Method 2: With OpenCV

• This method requires you to install OpenCV from its official website: OpenCV Official Website.
• Add the bin folder path to the user variables and system variables paths.
• Now open VS Code and configure using CMake.
• Use only the MS compiler for C++ configuration because OpenCV doesn't work with the MinGW compiler.
• Build the project and run the main.cpp file.
• A map of India will appear. Mark the required number of cities on the map and then press ESC.
• Leave the VS Code terminal running.
• Open the command prompt/terminal. Go inside the terminal folder.
• Compile the project using the following command:

  g++ -Wall *.cpp -o aco

  • g++: Denotes the compiler used (GNU compiler).
  • -Wall: Enables all warnings.
  • *.cpp: Compiles all the files inside the src folder.
  • -o aco: Specifies the output file name.
• Run the executable using:

  start aco.exe

• The program will ask you for the number of iterations, the number of ants, and the number of cities. It will build a complete graph.
• The program exits, giving us the best route.
• Go to the VS Code terminal and enter any digit.
• Now it should display the optimal route on the map.
• Press ESC to exit.

Warning

• Object Detection does not work with the MinGW compiler.
• Also, do not forget to change the path of jennai.jpg, result.txt, and points.txt, otherwise the program will not work for Method 2 using OpenCV.
• To run Object Detection, VS Code build tools must be downloaded, which contains the MS C++ compiler.