Research Article

Air Target Threat Assessment Based on Improved Moth Flame Optimization-Gray Neural Network Model

Table 3

Optimization results comparison of benchmark functions.

FunctionDimensionAlgorithmMeanStandard deviation

Sphere10MFO8.738 × 10−358.043 × 10−35
IMFO6.544 × 10551.936 × 1050
50MFO9.965 × 10−34.507 × 10−2
IMFO3.346 × 10501.672 × 1048

Rosenbrock10MFO7.9711.463
IMFO8.954 × 10–13.041 × 101
50MFO4.873 × 1011.676
IMFO9.580 × 1011.637

Schwefel 2.2610MFO−0.999 × 1031.649 × 103
IMFO4.188 × 1031.403
50MFO−1.392 × 1047.090 × 102
IMFO2.094 × 1045.981 × 102

Rastrigin10MFO5.5976.085
IMFO4.967 × 10163.455 × 1015
50MFO7.355 × 1019.458
IMFO3.678 × 10145.279 × 1011

Ackley10MFO4.209 × 10−152.621 × 10−16
IMFO8.419 × 10163.847 × 1017
50MFO7.118 × 10−22.937 × 10−1
IMFO8.882 × 10165.580 × 1018

Griewank10MFO1.314 × 10−48.359 × 10–4
IMFO3.177 × 10173.564 × 1016
50MFO1.129 × 10−49.423 × 10–4
IMFO1.761 × 10172.965 × 1015