This project provides a C++ implementation of the Particle Swarm Optimization (PSO) algorithm. PSO is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.

The PSO algorithm is inspired by the social behavior of bird flocking or fish schooling. It involves a population of candidate solutions, called particles, which are moved around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best-known position and is also guided toward the best-known positions in the search space, which are updated as better positions are found by other particles.

This project is designed to be a flexible and extensible implementation of PSO, allowing users to define their own optimization problems and fitness functions.

To build and run this project, you will need:

• A C++ compiler (e.g., g++)
• Make

To build the project, clone the repository and run the make command in the root directory:

git clone <repository-url>
cd <repository-directory>
make

This will compile the source code and create an executable file named pso in the root directory.

To run the PSO algorithm, use the following command:

./pso <input-file>

Replace <input-file> with the path to a file containing the problem data. The format of the input file will depend on the specific optimization problem being solved.

The project is organized as follows:

• src/: Contains the C++ source code for the PSO implementation.
• include/: Contains the header files for the C++ classes.
• data/: Contains sample input files for testing the PSO algorithm.
• test/: Contains test cases for the project.
• Makefile: The build script for the project.
• README.md: This file.