Implemention Of Particle Swarm Optimization Algorithm in C++ With Simple Environment

particle swarm optimization (PSO) is a metaheuristic optimization algorithm it optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.

our environment is a simple image and generate a random goal (Green Circle) then with pso we can predict that.

sudo apt install libopencv-dev

in your main file, include pso header and write your fitness function then set instance of pso and set your parameters. then call optimize function and pass the fitness function in optimize parameter . EASY :)
Recommended : Delete environment for your tasks

#include "PSO.h"

auto fitnessfunction()
{}

auto main() -> int
{
 PSO pso;

 pso.set_c1(0.2);
 pso.set_c2(1.8);

 auto result = pso.optimize(fitnessfunction);
}

cmake .
make
./pso

make clean

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

Feel free to use, modify this code. And please feel free to fork the code from Github and send pull requests.

Report any comment or bugs to:
[email protected]

Regards,
Erfan Fathi