Genetic Rockets Simulation

A genetic algorithm simulation of rockets trying to reach the target

Project Structure

.
├── services            Core components of the simulation
│   ├── controller.py   Central processing block
│   ├── population.py   Service to handle creation and deletion of test agents
│   ├── world.py        Environment where agents interact
│   └── visualizer.py   Pygame wrapper with utility functions
├── shared              Components shared throughout the app
│   ├── configs.py      App level Configuration
│   └── colors.py       Rgb color values
├── main.py             Entry point for the simulation
└── README.md

Usage

• Create a virtual environment

  python3 -m venv venv
  

• Activate the virtual environment

  source venv/bin/activate
  

• Install the requirements

  pip3 install -r requirements.py
  

• To run the simulation

  python3 main.py
  

• To update the simulation configurations use the configs file located at shared/configs.py
• To exit the virtual env

  deactivate
  

References

• Vectors
  • https://www.mathsisfun.com/algebra/vectors.html
  • https://natureofcode.com/book/chapter-1-vectors
• Autonomous Agents (Controlling rockets on the screen) -
  • https://natureofcode.com/book/chapter-6-autonomous-agents/
• Genetic Algorithm
  • https://natureofcode.com/book/chapter-9-the-evolution-of-code/
  • Youtube tutorial - https://www.youtube.com/watch?v=9zfeTw-uFCw&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV