Note: This section is under development......

CelluKeyGA

🚀 CelluKeyGA is a Python library that integrates Cellular Genetic Algorithm (Cellular GA) with Biased Random-Key Genetic Algorithm (BRKGA) to enhance optimization capabilities. This project aims to provide a flexible and efficient evolutionary computing framework for solving complex optimization problems.

🔹 Features

• Combines Cellular GA and BRKGA for improved solution diversity and performance.
• Designed for solving combinatorial and continuous optimization problems.
• Modular and extensible structure for easy customization.

🛠️ Applications

CelluKeyGA can be applied in various domains, including:

• ✅ Scheduling and routing problems.
• ✅ Machine learning hyperparameter optimization.
• ✅ Engineering design optimization.
• ✅ Any problem requiring robust metaheuristic search strategies.

📦 Installation

pip install CelluKeyGA 

🚀 Getting Started

from cellukeyga import CelluKeyGA

# Example usage
ckga = CelluKeyGA()
ckga.run()

📂 Roadmap

• Implement core algorithm.
• Add benchmark test problems.
• Provide detailed documentation.
• Integrate with pymoo.

🤝 Contributing

Contributions are welcome! Feel free to open issues and pull requests.

📜 License

MIT License (or any other license you prefer).