🌸 Flower Evolution

A visual genetic algorithm simulation using Python and Tkinter, where a population of flowers evolves over time based on color, petal count, and size. The user can influence evolution by hovering over flowers to increase their fitness.

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🎮 Demo

Each flower is made up of a unique DNA sequence controlling:

• 🌼 Center size and color
• 🌸 Petal color and number
• 🌿 Stem rendering

You can:

• Hover over flowers to increase their fitness
• Click "Next Generation" to evolve flowers using:
  • Selection
  • Crossover
  • Mutation

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🧬 Evolution Mechanics

• Fitness is influenced by user interaction (hovering)
• Selection chooses the top 4 fittest flowers
• Crossover combines DNA of two parents to create new children
• Mutation randomly alters parts of the DNA based on a small rate
• DNA structure: [center_size, center_r, center_g, center_b, petal_r, petal_g, petal_b, petal_count]

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🖼️ GUI Preview

🛠️ Technologies Used

• Python 3
• Tkinter for GUI rendering
• Math & Random for DNA generation and simulation

🚀 How to Run

1. Clone the repo

  git clone https://github.com/mariamhmostafa/Flower-Evolution.git
  cd Flower-Evolution

2. Run the app Make sure Python 3 is installed. Then run:

python3 Flower-Evolution.py

🎯 Controls

Move your mouse over flowers to increase their fitness

Click "Next Generation" to evolve the next population

🧪 Sample DNA Example

[10, 255, 100, 80, 200, 90, 60, 5]
Center size = 10

Center color = RGB(255,100,80)

Petal color = RGB(200,90,60)

Petal count = 5