An Efficient Algorithm for Unconstrained Optimization

Algorithm 1

PSO algorithm.

(1) Begin.

(2) while  Termination criterion is not satisfied  do

(3)  Create a population of particles distributed in the feasible space.

(4)  Evaluate each position of the particles according to the objective function (fitness function).

(5)  If the current position of a particle is better than the previous one, update it.

(6)  Determine the best particle (according to the best previous positions).

(7)  Update the particle velocities according to (4).

(8)  Move the particles to new positions according to (3).

(9) end