Particle Swarm Optimization (PSO) - Basic Implementation

This repository contains a basic implementation of Particle Swarm Optimization (PSO) in Python. PSO is a computational method used for optimization problems, inspired by the social behavior of birds and fish.

Prerequisites

Ensure you have Python instaled (>=3.6). You may need the following dependencies:

pip install numpy matplotlib pygame

Usage

Run the script with:

python main.py

By default, the implementation optimizes a sample function, but you can modify it to suit your needs.

Customization

• Change the objective function in the code to optimize a different function.
• Adjust hyperparameters such as the number of particles, inertia weight, and acceleration coefficients.