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.