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. 2024 Nov 6;14:26903. doi: 10.1038/s41598-024-77585-2

Table 2.

Comparison of average and standard deviation values for the studied algorithms employed in CEC-BC-2017.

Function Indicator ICSA CSA 31 LOA 28 LS 27 LSHADE-SPACMA 30 IPOP-CMA-ES 29
F1 Avg 2015.43 2264.59 2574.83 2863.18 1863.96 100.0
StD 1364.44 1537.52 1919.50 2015.44 1182.42 50.0
F3 Avg 1050.0 1266.0 1940.36 1530.15 1450.09 500.0
StD 5.63e-6 6.12e-6 238.53 133.37 262.86 10.0
F5 Avg 777.66 833.41 925.22 1012.47 751.83 50.15
StD 250.02 315.19 523.17 800.0 120.0 25.0
F7 Avg 600.0 800.66 700.12 800.0 623.0 33.73
StD 300.34 480.0 664.53 593.0 420.90 10
F9 Avg 370.55 420.11 500.9 460.0 380.0 90.0
StD 126.38 238.8 310.3 312.4 247.39 21.28
F11 Avg 1200.72 1362.56 1590.60 1800.01 1021.33 100.2
StD 708.36 980.15 1000.11 1539.16 936.14 50.0
F13 Avg 1560.06 1633.43 1700.77 1816.30 2055.66 500.0
StD 1054.51 1222.45 1663.55 1713.40 1667.43 200.0
F15 Avg 1262.12 1360.22 1511.24 1833.47 1288.82 50.52
StD 1143.5 1210.42 1382.44 1540.83 1009.77 10.0
F17 Avg 1639.33 1945.36 2672.72 2588.64 1636.25 400.0
StD 1120.72 1430.44 1864.88 2000.0 1000.22 100.0
F19 Avg 1933.11 2374.42 2637.53 2815.28 2546.82 500
StD 1518.45 1939.45 2444.14 2336.74 2242.63 300
Friedman mean rank “7.36” “5.46” “6.21” “6.46” “5.71” “8.32”
Rank 2 3 5 4 6 1