Chicken-Swarm-Optimization

About The Project

A new bio-inspired algorithm, Chicken Swarm Optimization (CSO), is proposed for optimization applications. Mimicking the hierarchal order in the chicken swarm and the behaviors of the chicken swarm, including roosters, hens and chicks, CSO can efficiently extract the chickens’ swarm intelligence to optimize problems.

Built With

Built Using Languages and Libraries Listed Below

• Python
• Java
• numpy
• sklearn

Getting Started

Installation

1. Clone the repo

git clone https://github.com/decipher07/Chicken-Swarm-Optimization.git

2. Install Python packages

pip install numpy 

3. Run using command:

python CSOAlgo.py

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Contact Me

Deepankar Jain -

LinkedIn

Email

Project Link - GitHub