Table 12 Optimal results on GTD Problem.

From: An improved manta ray foraging optimization algorithm

Algorithm

\(N_{a}\)

\(N_{b}\)

\(N_{d}\)

\(N_{f}\)

\(f_{\min }\)

MFO

51

30

13

53

2.3078E−11

ABC

49

16

19

43

2.7009e−12

MBA

43

16

19

49

2.7009e−12

CBO

53

13

20

34

2.3078E−11

NNA

49

16

19

43

2.7009E−12

SCA

43

16

19

49

2.7009E−12

SO

42.56196

16.35570

19.36730

49.25434

2.7009 E−12

AOA

46.99578

16.09135

25.09845

58.94793

9.7457E−10

MRFO

43.48570

19.26329

16.28897

48.99045

2.7009 E−12

IMRFO

42.91783

18.58480

16.30035

49.23052

2.7009 E−12

  1. Table 12 presents the optimal results solved by IMRFO on the GTD problem compared with 8 new optimization algorithms and MRFO.
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