Particle-swarm-Optimization

Particle swarm Optimization(PSO) used for solving optimisation

1. Initialize particles with random position and velocity vectors.

2. For each particle’s position (p) evaluate fitness(eg Sin(x))

3. If fitness(p) better than fitness(pbest) then pbest= p

4. Set best of pBests as gBest

5. Update particles velocity and position

Stop: giving gBest, optimal solution.

                                       Initial state

.

                                        final state(3000 iteration)