A lightweight prototype of the Smart Rockets Genetic Algorithm project, built in Python with Pygame. This version focuses on testing movement, angle exclusion, and basic fitness evaluation as a foundation for later evolutionary improvements.
Smart Rocket Proxy One is an early trial project that simulates triangles ("rockets") navigating toward a target point. Unlike the full GA version, this prototype primarily experiments with:
- Randomized movement and exclusion of poor-performing angles.
- Fitness measurement based on distance to the target.
- Visualization of motion in a Pygame window.
- Random angle assignment: Rockets are initialized with random headings.
- Exclusion logic: Identifies poorly performing directions and prevents re-use in later attempts.
- Basic fitness evaluation: Rockets are compared by distance to the goal.
- Interactive visualization: Real-time motion rendered with Pygame.
- Python 3.11 (recommended)
- Pygame (install with
pip install pygame)
-
Clone this repository:
git clone https://github.com/yourusername/smart-rocket-proxy-one.git cd smart-rocket-proxy-one -
Install dependencies:
pip install pygame
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Run the simulation:
python proxy_one.py
- This is not the full genetic algorithm version, but a stepping stone toward Smart Rockets v2.
- Useful for experimenting with motion, randomization, and early exclusion strategies.
genetic-algorithm
pygame
python
simulation
artificial-intelligence
evolutionary-computation
smart-rockets
prototype
visualization
Inspired by Daniel Shiffman’s "Smart Rockets" concept and implemented here as an exploratory learning project.