Multi-objective Particle Swarm Optimization (MOPSO) in C++

This repository contains an implementation of a multi-objective particle swarm optimization (MOPSO) algorithm in C++. MOPSO is a heuristic optimization algorithm used to find the best solutions to multi-objective optimization problems.

Features

• Implemented in modern C++ (C++20)
• Efficient handling of high dimensional spaces

Getting Started

Prerequisites

• C++ compiler with support for C++20 (e.g., GCC 10 or newer)
• CMake 3.10 or newer

Building the Project

To build the project, follow these steps:

mkdir build
cd build
cmake ..
make

Usage

Input

Description of the input the program takes. (e.g., objective function definition, constraints, etc.)

Output

Description of the output the program produces. (e.g., optimized parameters, objective function values, etc.)

Example

Provide an example of how to use your program, ideally with code snippets and output.

Documentation

Provide details on where to find more comprehensive documentation if available.

Contributing

We welcome contributions! Please see our contributing guidelines for details.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Acknowledgments

• Mention any inspirations, code borrowed etc.

Contact

Your Name - [email protected]

Project Link: https://github.com/gtoscano/SimpleMOPSO