Table 9 RT metric evaluation across algorithms using DTLZ problems.

From: Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems

Problem

Objectives (M)

Decision Variables (D)

MaOSSO (Mean ± STD, ms)

NSGA-III (Mean ± STD, ms)

RVEA (Mean ± STD, ms)

NMPSO (Mean ± STD, ms)

MOEA/D-DE (Mean ± STD, ms)

DTLZ1

5

9

12.5 ± 0.9

23.4 ± 1.2

25.7 ± 1.4

18.3 ± 1.1

29.8 ± 1.7

8

12

16.8 ± 1.1

29.6 ± 1.5

33.2 ± 1.8

21.7 ± 1.3

37.5 ± 2.1

10

14

21.4 ± 1.3

37.2 ± 1.8

42.8 ± 2.3

27.4 ± 1.6

45.3 ± 2.5

DTLZ2

5

14

9.8 ± 0.6

18.7 ± 0.9

21.3 ± 1.1

14.6 ± 0.7

24.5 ± 1.2

8

17

13.7 ± 0.8

22.9 ± 1.3

26.5 ± 1.5

17.8 ± 1.1

29.6 ± 1.6

10

19

18.4 ± 1.1

28.4 ± 1.6

32.7 ± 1.9

22.3 ± 1.4

34.7 ± 1.9

DTLZ3

5

14

14.2 ± 0.9

32.6 ± 1.8

37.5 ± 2.1

23.8 ± 1.4

41.9 ± 2.4

8

17

18.7 ± 1.2

39.8 ± 2.3

46.2 ± 2.7

28.4 ± 1.7

50.5 ± 2.9

10

19

24.6 ± 1.6

48.6 ± 2.8

56.3 ± 3.2

36.2 ± 2.1

60.4 ± 3.5

DTLZ4

5

14

8.3 ± 0.4

16.2 ± 0.8

18.4 ± 0.9

12.5 ± 0.5

21.7 ± 1.1

8

17

10.7 ± 0.6

19.4 ± 1.1

22.6 ± 1.3

14.8 ± 0.7

25.3 ± 1.4

10

19

13.5 ± 0.8

23.7 ± 1.4

27.2 ± 1.6

18.4 ± 0.9

29.6 ± 1.7

DTLZ5

5

14

11.9 ± 0.7

21.6 ± 1.2

25.4 ± 1.4

16.7 ± 0.9

28.5 ± 1.6

8

17

15.8 ± 0.9

27.3 ± 1.6

32.5 ± 1.8

20.9 ± 1.2

36.7 ± 2.0

10

19

20.7 ± 1.3

33.6 ± 2.1

39.2 ± 2.5

26.7 ± 1.5

43.9 ± 2.6

DTLZ6

5

14

10.4 ± 0.5

20.3 ± 1.1

24.6 ± 1.3

15.4 ± 0.7

27.8 ± 1.5

8

17

13.9 ± 0.8

25.7 ± 1.5

30.4 ± 1.7

19.2 ± 1.1

33.5 ± 1.8

10

19

17.8 ± 1.1

31.8 ± 1.9

37.2 ± 2.2

24.6 ± 1.4

39.4 ± 2.3

DTLZ7

5

14

9.6 ± 0.4

18.6 ± 0.9

22.3 ± 1.1

14.2 ± 0.6

25.7 ± 1.3

8

17

12.4 ± 0.7

22.7 ± 1.2

27.4 ± 1.4

17.6 ± 0.8

30.9 ± 1.6

10

19

16.3 ± 0.9

28.1 ± 1.5

34.2 ± 1.8

22.4 ± 1.1

36.7 ± 2.0

  1. Significant values are in bold.