Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance

Algorithm 1

Expert bat algorithm.

Input : maximum of iterations;

:Number of bats/child bats;

:Sonic loudness/pulse of bat;

: Loudness/pulse update factor;

1: Use criterion (20) to find the best bat in the initial environment;

2: fordo

3:  for each bat do

4:   Randomly move each bat;

5:   Generate a random number ;

6:   ifthen

7:    Randomly move this bat;

8:    if better than the original then

9:     Adopt current position;

10:   else

11:     Adopt original position;

12:   end if

13:  end if

14:  if better than the better than the optimal bat and then

15:   Update optimal bat position;

16:   ;

17:   ;

18:   end if

19:  end if

20:  Add child bats as the best bat copy;

21:  fordo

22:   for each child bats do

23:    Randomly move child bats;

24:    if better than the best then

25:     Update the optimal solution;

26:    end if

27:   end for

28:   

29:  end for

30:  

31: end for