Comparison of Heuristic Algorithms in Identification of Parameters of Anomalous Diffusion Model Based on Measurements from Sensors

. 2023 Feb 3;23(3):1722. doi: 10.3390/s23031722

Algorithm 2 Pseudocode of LSAM operator.

x^{r}

—random solution among the top half best agents in population (obtained from BOA).

F i t^{r} = F (x^{r})

—value of the fitness function for

x^{r}

3: I—number of iterations,

ξ

—mutation rate.

4:
Iterative part.

5: for

iteration i = 1, 2, \dots, I

6: Calculate:

x^{n e w} =

Mutate(

x^{r}, ξ

F i t^{n e w} = F i t (x^{n e w})

7: if

F i t^{n e w} < F i t^{r}

then

x^{r} = x^{n e w}

F i t^{r} = F i t^{n e w}

9: else

10: Set a random solution

x^{r n d}

from the population, but not

x^{r}

11: Compute the fitness function

F i t^{r n d} = F i t (x^{r n d})

12: if

F i t^{n e w} < F i t^{r n d}

then

13:

x^{r n d} = x^{n e w}

14: end if

15: end if

16: end for