

![0_image_0.png](0_image_0.png)

Figure 2. Akaike Information Criterion (AIC) convergence vs. PSO iterations. 

![0_image_1.png](0_image_1.png) 

Figure 2 illustrates that the PSO algorithm rapidly converged close to the ultimate minimum error within the first 80 algorithm iterations. The global best model in this simulation started off as model m2 but after 3 iterations it changed to model m1 and remains unchanged for the rest of the simulation. The model order, based on the minimum of the objective function for these PSO settings was m1, m6, m2, m7, m8, m3, m4 and then m5. 

5.1.2 Simulation number 2 This simulation is the same as simulation 1 except the objective function has been changed to SSE. Figure 4 shows the convergence plot of the SSE objective function over the first 100 algorithm iterations. Figure 5 illustrate the convergence behaviour of global best model over 100 iterations. 

![0_image_2.png](0_image_2.png) 
