A genetic algorithm that teaches virtual bots to navigate through a maze 🗺️. Built with JavaScript, HTML/CSS, and designed to run directly in the browser.

🌱 The goal: evolve generations of bots to find the optimal path from start to finish while avoiding walls.

Soon on GitHub Pages!!!

🛠️ Features

• 🧬 Evolutionary algorithm (crossover + mutation)
• 🕹️ Interactive maze creation
• 📈 Shows generation-by-generation progress (soon)
• ⚡ Runs entirely in-browser, no installation required

📦 Getting Started

1. Clone the repository

   git clone https://github.com/PTurquetti/MazeSolver_GeneticAlgorithm.git

2. Open index.html in your browser
3. Build your maze, set start and end points, and run the algorithm!

Soon available on GitHub Pages 😃

👨‍💻 Tech Stack

• Vanilla JavaScript (ES6 modules)
• HTML5 & CSS3
• GitHub Pages for hosting

🧠 How it works

Each bot is represented as a binary sequence of movements. Over generations, they:

• Mutate to explore new paths
• Crossover to combine successful strategies
• Evolve to reach the goal

🙌 Contributing

Pull requests are welcome! Feel free to suggest improvements or report issues.

⭐ Show your support

If you like this project, leave a ⭐ on this project's GitHub and share it!