Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization

Table 8

Performance of all algorithms on RNP with Cd500.

Objective Func.		HABC	PS^2O	EGA	CCEA	PSO
𝑓𝑐	Best	723.3412	761.4376	931.5424	965.1634	877.0912
	Worst	951.312	1.024𝑒+003	1.9652𝑒+003	998.8912	1.1274𝑒+003
	Mean	832.4521	981.9812	1.21654𝑒+003	981.9812	983.3461
	Std	65.3476	110.2360	361.0912	61.1653	141.7735
𝑓𝑖	Best	530.6258	545.5313	539.9123	531.6734	584.4458
	Worst	541.9812	573.4476	568.3476	562.6423	662.9891
	Mean	546.3155	558.0246	541.6712	545.7813	600.2657
	Std	4.8912	9.2376	14.3452	8.6791	15.9824
𝑓𝑒	Best	𝟏.𝟎𝟏𝟐𝟔𝐞−𝟎𝟖	3.2345𝑒−008	4.2351𝑒−007	8.7342𝑒−007	3.6342𝑒−007
	Worst	𝟏.𝟕𝟗𝟖𝟏𝐞−𝟎𝟖	5.1852𝑒−008	9.8782𝑒−007	9.7674𝑒−007	4.4487𝑒−007
	Mean	𝟏.𝟒𝟔𝟐𝟏𝐞−𝟎𝟖	4.3186𝑒−008	7.4127𝑒−007	9.2412𝑒−007	5.1956𝑒−007
	Std	𝟏.𝟓𝟒𝟑𝟏𝐞−𝟎𝟗	6.3671𝑒−008	8.9834𝑒−007	9.8671𝑒−008	3.6423𝑒−008
𝑓𝑙	Best	𝟔.𝟐𝟐𝟑𝟒𝐞−𝟎𝟎𝟏𝟖	7.4523412𝑒−007	4.0934𝑒−08	4.9834𝑒−07	6.4867
	Worst	𝟒.𝟐𝟖𝟐𝟑𝐞−𝟎𝟎𝟏𝟕	5.4123𝑒−006	25.5623	0.0085	24.1438
	Mean	𝟐.𝟑𝟗𝟐𝟑𝐞−𝟎𝟎𝟏𝟕	3.5978𝑒−006	8.0921	0.0069	10.5643
	Std	𝟔.𝟔𝟓𝟕𝟒𝐞−𝟎𝟎𝟏𝟖	7.4123𝑒−007	8.7321	0.0067	5.8904
𝑓𝑚	Best	0.2549	0.3640	0.3365	0.3521	0.5051
	Worst	0.2637	0.3935	0.4454	0.4633	0.5322
	Mean	0.2563	0.3780	0.4067	0.4232	0.5168
	Std	0.0785	0.0412	0.3223	0.3521	0.0106