Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization

Table 7

Performance of all algorithms on RNP with Cd100.

Objective Func.		HABC	PS^2O	EGA	CCEA	PSO
𝑓𝑐	Best	218.2832	216.4532	359.0912	233.3948	390.0938
	Worst	247.1265	268.2351	411.9823	334.3984	400.8675
	Mean	221.0934	241.4512	389.4652	282.9834	395.8343
	Std	80.3842	102.4323	91.0912	83.2387	130.3323
𝑓𝑖	Best	144.0932	142.0934	147.3454	145.8723	150.0923
	Worst	146.8812	145.6421	152.4325	156.0912	163.6433
	Mean	145.9823	144.4326	149.6783	148.8542	155.0933
	Std	3.8721	5.9564	9.8123	14.9812	26.0232
𝑓𝑒	Best	𝟐.𝟏𝟓𝟖𝟑𝐞−𝟎𝟏𝟓	2.5612𝑒−014	2.6234𝑒−01	2.1678𝑒−014	2.6563
	Worst	𝟐.𝟖𝟗𝟐𝟑𝐞−𝟎𝟏𝟓	3.3412𝑒−014	3.6973𝑒−01	4.09823𝑒−014	3.4938
	Mean	𝟐.𝟓𝟖𝟏𝟐𝐞−𝟎𝟏𝟓	5.5434𝑒−014	3.1034𝑒−01	2.7023𝑒−014	3.1276
	Std	𝟐.𝟓𝟖𝟗𝟐𝟑𝐞−𝟎𝟏𝟏	5.1654𝑒−014	3.8712𝑒−01	4.9898𝑒−011	2.6512
𝑓𝑙	Best	𝟓.𝟐𝟒𝟎𝟏𝐞−𝟎𝟎𝟐𝟎	3.0934𝑒−013	2.9845𝑒−01	6.3412𝑒−009	3.3675
	Worst	𝟑.𝟐𝟒𝟔𝟕𝐞−𝟎𝟎𝟏𝟗	16.883	0.0045	4.3658𝑒−008	17.0912
	Mean	𝟏.𝟑𝟗𝟑𝟓𝐞−𝟎𝟎𝟏𝟗	3.9812	0.0009	2.4519𝑒−008	9.9814
	Std	𝟔.𝟔𝟗𝟎𝟐𝐞−𝟎𝟎𝟐𝟎	5.7652	0.0022	7.0914𝑒−009	4.6575
𝑓𝑚	Best	0.1798	0.2351	0.1864	0.1994	0.2123
	Worst	0.2254	0.3566	0.2429	0.2411	0.2758
	Mean	0.1980	0.2871	0.2105	0.2118	0.2394
	Std	0.1314	0.3720	0.1556	0.1441	0.2173