Analysis of Population Diversity of Dynamic Probabilistic Particle Swarm Optimization Algorithms

Algorithm 1

The execution process of DPPSO.

(1)  Randomly initialize the particles’ positions of the whole population in solution space;

(2) Initialize the parameters of DPPSO;

(3) While The termination condition is not satisfied do

(4)   Calculate the fitness values of all particles in the population;

(5)   For each particle, update the optimal positions;

(6)   For each particle, calculate the CT values based on (2);

(7)   For each particle, calculate the OT values based on (3);

(8)   For each particle, generate the new positions based on (1);