Research Article

Marine Predators Algorithm Based on Adaptive Weight and Chaos Factor and Its Application

Table 3

Comparison of optimization results of benchmark test functions.

FunctionResultACMPAChoAMFOMPASCA

Ave1.4547e-843.3747e-751.2929e-324.4914e-653.3693e-35
Std2.3378e-841.7719e-742.2985e-321.6501e-641.3574e-34

Ave6.6421e-573.6967e-471.8681e-198.0445e-391.0473e-24
Std2.4495e-561.9534e-481.7940e-191.3648e-381.5119e-24

Ave1.08424e-501.1830e-378.0371e-121.5264e-349.0355e-17
Std3.71256e-606.4715e-371.5424e-115.7895e-343.3919e-16

Ave1.7589e-391.2554e-243.0230e-102.3507e-275.3163e-13
Std5.7318e-393.7076e-246.7830e-102.9474e-271.2047e-12

Ave1.1536e-041.1885e-041.3902e-031.9046e-043.0483e-04
Std1.0551e-047.8796e-055.5616e-041.2141e-042.8847e-04

Ave05.5816e-0913.467400
Std03.0572e-0811.582700

Ave8.8817e-166.05274.5593e-158.8817e-163.8487e-15
Std09.17196.4863e-1601.3466e-15

Ave00.02820.126500.0363
Std00.06020.061900.0945

Ave0.99800.99801.03110.99801.0641
Std01.3084e-060.181400.3622

Ave3.0748e-041.2484e-038.9213e-043.0748e-046.8870e-04
Std8.5518e-191.7323e-052.9622e-043.8762e-184.0040e-04