338
R. Prajapati et al.
Fig. 4 Multi-population JAYA algorithm
RMS =
1
n
n
i=1
[q a (t) − q e (t)]
2
(3.1)
From Eq. 3.1, it is clear that the lower values of RMS error imply the higher
accuracy. Here, q a (t) shows actual boundary heat flux, while q e (t) shows estimated
boundary heat flux. Figure 6 shows the comparison of boundary heat flux q e (t) estimated by simple JAYA, multi-population-based JAYA and modified JAYA algorithm
R. Prajapati et al.
Fig. 4 Multi-population JAYA algorithm
RMS =
1
n
n
i=1
[q a (t) − q e (t)]
2
(3.1)
From Eq. 3.1, it is clear that the lower values of RMS error imply the higher
accuracy. Here, q a (t) shows actual boundary heat flux, while q e (t) shows estimated
boundary heat flux. Figure 6 shows the comparison of boundary heat flux q e (t) estimated by simple JAYA, multi-population-based JAYA and modified JAYA algorithm