Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing

Algorithm 3

Selecting using NSGA-III.

Input:

Output:

1:  = Crossover and mutation ()

2:

3: the solutions in do

4:  Calculate by formula (8)

5:  Calculate by formula (16)

6: end for

7: for the 2 solutions in do

8:  Non-dominant sorting the solutions

9: end for

10: Do primary selection

11: if partial solutions in the -th front are included do

12:  Do further selection

13:  Normalize solutions by formulas (19)–(24)

14:  Generate the reference points

15:  Associate solutions with the closest reference points

16:  Do the selection of solutions

17: end if

18:return