cec2017-rao2 0.1.1

CEC2017 benchmark suite using Rao-2 optimization algorithm

CEC2017-Rao2

CEC2017 benchmark suite implementation using the Rao-2 optimization algorithm.

Description

This package provides an implementation of the CEC2017 benchmark functions optimized using the Rao-2 algorithm. The CEC2017 suite consists of 30 benchmark functions for single-objective optimization, and this implementation allows for easy experimentation and comparison of optimization algorithms.

Installation

From PyPI

pip install cec2017-rao2

From GitHub

pip install git+https://github.com/LakshyMaheshwari/CEC2017-using-Rao-2-.git

From Source

git clone https://github.com/LakshyMaheshwari/CEC2017-using-Rao-2-.git
cd CEC2017-using-Rao-2-
pip install -e .

Quick Start

from cec2017_rao2.runner import run_experiment

# Run function 1 in 10 dimensions
run_experiment(
    func_id=1,
    dimension=10,
    lb=-100,
    ub=100,
    pop_size=30,
    max_fes=100000,
    runs=51
)

Project Structure

cec2017_rao2/
├── algorithms/          # Optimization algorithms (Rao-2)
├── functions/           # Benchmark functions
│   └── cec2017/         # CEC2017 specific functions and data
├── utils/               # Utility functions
└── visualization/       # Plotting and visualization tools

Requirements

• Python >= 3.7
• numpy
• scipy
• matplotlib

Usage

Running Experiments

Use the provided main.py script for interactive experimentation:

python main.py

Select a function ID (1-30) and the system will run the appropriate experiments.

Using the Library

Import and use individual components:

from cec2017_rao2.algorithms.rao2 import rao2
from cec2017_rao2.functions.core import evaluate

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
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

Citation

If you use this code in your research, please cite:

@software{cec2017_rao2,
  author = {Lakshya Maheshwari},
  title = {CEC2017-Rao2: CEC2017 benchmark suite using Rao-2 optimization},
  url = {https://github.com/LakshyMaheshwari/CEC2017-using-Rao-2-},
  version = {0.1.0},
}