Research Article
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 values based on (2); | (7) For each particle, calculate the values based on (3); | (8) For each particle, generate the new positions based on (1); |
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