Memetic Algorithm with Local Search as Modified Swine Influenza Model-Based Optimization and Its Use in ECG Filtering

Table 6

Comparison of the experimental results of algorithms using statistical test.

			Fsph	Fs2.22	Fs1.2	Fs2.21	Fros	Fste	Fqua	Fs2.26	Fras	Fack	Fgri	Fpen1	Fpen2
m-SIMBO-T versus SIMBO-T	10D	𝑃-value	7.30𝑒−01	8.52𝑒−05	8.20𝑒−01	3.21𝑒−02	NA	NA	3.27𝑒−01	NA	1.39𝑒−03	1.90𝑒−05	1.23𝑒−05	NA	NA
	10D	SL = 0.05	0	1	0	1	—	—	0	—	1	1	1	—	—
	10D	SL = 0.01	0	1	0	0	—	—	0	—	1	1	1	—	—
	30D	𝑃-value	5.40𝑒−05	1.60𝑒−01	1.69𝑒−03	4.77𝑒−08	NA	NA	3.27𝑒−01	NA	6.08𝑒−05	5.99𝑒−01	1.43𝑒−04	NA	NA
	30D	SL = 0.05	1	0	1	1	—	—	0	—	1	0	1	—	—
	30D	SL = 0.01	1	0	1	1	—	—	0	—	1	0	1	—	—
	50D	𝑃-value	7.91𝑒−03	2.92𝑒−02	3.10𝑒−04	1.20𝑒−05	NA	NA	2.80𝑒−01	NA	1.87𝑒−03	4.45𝑒−08	8.51𝑒−05	NA	NA
	50D	SL = 0.05	1	1	1	1	—	—	0	—	1	1	1	—	—
	50D	SL = 0.01	1	0	1	1	—	—	0	—	1	1	1	—	—
m-SIMBO-V versus SIMBO-V	10D	𝑃-value	2.51𝑒−04	7.16𝑒−06	4.91𝑒−02	2.38𝑒−07	NA	NA	1.27𝑒−01	NA	3.27𝑒−03	7.99𝑒−04	7.07𝑒−01	NA	NA
	10D	SL = 0.05	1	1	1	1	—	—	0	—	1	1	0	—	—
	10D	SL = 0.01	1	1	0	1	—	—	0	—	1	1	0	—	—
	30D	𝑃-value	7.57𝑒−01	2.48𝑒−02	7.50𝑒−03	7.65𝑒−01	NA	NA	3.27𝑒−01	NA	9.09𝑒−01	7.57𝑒−01	2.03𝑒−02	NA	NA
	30D	SL = 0.05	0	1	1	0	—	—	0	—	0	0	1	—	—
	30D	SL = 0.01	0	0	1	0	—	—	0	—	0	0	0	—	—
	50D	𝑃-value	1.15𝑒−02	1.21𝑒−05	2.00𝑒−02	3.01𝑒−05	NA	NA	3.28𝑒−01	NA	1.98𝑒−01	1.02𝑒−02	3.72𝑒−03	NA	NA
	50D	SL = 0.05	1	1	1	1	—	—	0	—	0	1	1	—	—
	50D	SL = 0.01	0	1	0	1	—	—	0	—	0	0	1	—	—
m-SIMBO-Q versus SIMBO-Q	10D	𝑃-value	5.57𝑒−03	6.69𝑒−01	7.92𝑒−01	1.64𝑒−07	NA	NA	3.27𝑒−01	NA	8.28𝑒−01	1.66𝑒−04	1.96𝑒−02	NA	NA
	10D	SL = 0.05	1	0	0	1	—	—	0	—	0	1	1	—	—
	10D	SL = 0.01	1	0	0	1	—	—	0	—	0	1	0	—	—
	30D	𝑃-value	8.20𝑒−01	5.17𝑒−02	2.21𝑒−03	1.70𝑒−10	NA	NA	1.89𝑒−01	NA	1.18𝑒−02	7.50𝑒−06	4.15𝑒−04	NA	NA
	30D	SL = 0.05	0	0	1	1	—	—	0	—	1	1	1	—	—
	30D	SL = 0.01	0	0	1	1	—	—	0	—	0	1	1	—	—
	50D	𝑃-value	6.87𝑒−03	4.06𝑒−10	2.47𝑒−02	6.48𝑒−03	NA	NA	3.27𝑒−01	NA	2.08𝑒−01	2.00𝑒−10	4.01𝑒−03	NA	NA
	50D	SL = 0.05	1	1	1	1	—	—	0	—	0	1	1	—	—
	50D	SL = 0.01	1	1	0	1	—	—	0	—	0	1	1	—	—