Dragonfly Algorithm and Its Applications in Applied Science Survey
Table 15
IEEE CEC-C06 2019 benchmark test results.
CEC function
Meas.
DA
PSO
CEC01
Mean
46835.63679
1.47127E + 12
Std.
8992.755502
1.32362E + 12
CEC02
Mean
18.31681239
15183.91348
Std.
0.041929318
3729.553229
CEC03
Mean
12.70240422
12.70240422
Std.
1.50E − 12
9.03E − 15
CEC04
Mean
103.3295366
16.80077558
Std.
20.00405422
8.199076134
CEC05
Mean
1.177303105
1.138264955
Std.
0.057569859
0.089389848
CEC06
Mean
5.646572343
9.305312443
Std.
4.27E − 08
1.69E + 00
CEC07
Mean
898.5188217
160.6863065
Std.
4.023921424
104.2035197
CEC08
Mean
6.210996106
5.224137165
Std.
0.001657324
0.786760649
CEC09
Mean
2.601134198
2.373279266
Std.
0.233292964
0.018437068
CEC10
Mean
20.0506995
20.28063455
Std.
0.070920925
0.128530895
For each test function, the result of the algorithm that has shown its superiority comparing to the other algorithms for solving a specific function is shown in bold.