A Novel Hybrid Self-Adaptive Bat Algorithm

Table 4

Detailed results (𝐷=10).

Evals.	Meas.	𝑓1	𝑓2	𝑓3	𝑓4	𝑓5
4.00𝐸+02	Best	1.62𝐸−005	8.02𝐸−003	1.47𝐸+000	1.33𝐸+001	1.63𝐸+000
	Worst	1.03𝐸+00	3.14𝐸+02	3.58𝐸+005	2.00𝐸+001	1.42𝐸+003
	Mean	4.05𝐸−01	8.99𝐸+01	1.75𝐸+004	1.84𝐸+001	3.94𝐸+002
	StDev	2.27𝐸−01	5.87𝐸+01	7.10𝐸+001	2.00𝐸+001	1.68𝐸+002
	Mean	3.81𝐸−01	8.06𝐸+01	7.14𝐸+004	2.47𝐸+000	4.64𝐸+002
2.00𝐸+03	Best	7.90𝐸−06	6.77𝐸−03	2.32𝐸−002	8.39𝐸−003	4.56𝐸−003
	Worst	2.18𝐸−01	8.96𝐸+01	2.47𝐸+001	2.00𝐸+001	7.77𝐸+001
	Mean	2.91𝐸−02	1.54𝐸+01	5.00𝐸+000	1.01𝐸+001	1.52𝐸+001
	StDev	1.52𝐸−02	1.00𝐸+01	2.01𝐸+000	9.49𝐸+000	7.34𝐸+000
	Mean	5.36𝐸−02	2.19𝐸+01	6.12𝐸+000	7.09𝐸+000	1.79𝐸+001
1.00𝐸+04	Best	4.87𝐸−07	7.33𝐸−07	5.51𝐸−004	1.05𝐸−003	1.75𝐸−004
	Worst	1.19𝐸−01	2.22𝐸+01	8.82𝐸+000	2.00𝐸+001	1.65𝐸+001
	Mean	9.35𝐸−03	5.81𝐸+00	7.13𝐸−001	7.14𝐸+000	2.52𝐸+000
	StDev	1.88𝐸−04	9.71𝐸+00	8.03𝐸−003	6.56𝐸+000	5.65𝐸−002
	Mean	2.41𝐸−02	6.07𝐸+00	2.43𝐸+000	6.22𝐸+000	4.88𝐸+000
Evals.	Meas.	𝑓6	𝑓7	𝑓8	𝑓9	𝑓10
4.00𝐸+02	Best	7.07𝐸−05	0.00𝐸+00	−4.84𝐸+000	5.67𝐸−04	6.26𝐸−02
	Worst	3.28𝐸+00	0.00𝐸+00	−2.14𝐸+000	3.37𝐸−03	9.55𝐸+01
	Mean	6.98𝐸−01	0.00𝐸+00	−3.18𝐸+000	9.45𝐸−04	1.45𝐸+01
	StDev	2.62𝐸−01	0.00𝐸+00	−3.02𝐸+000	6.70𝐸−04	2.20𝐸+00
	Mean	9.46𝐸−01	0.00𝐸+00	7.59𝐸−001	7.50𝐸−04	2.35𝐸+01
2.00𝐸+03	Best	8.13𝐸−06	0.00𝐸+00	−6.51𝐸+000	5.66𝐸−04	6.18𝐸−05
	Worst	4.49𝐸−02	0.00𝐸+00	−3.46𝐸+000	6.20𝐸−04	4.33𝐸+00
	Mean	4.75𝐸−03	0.00𝐸+00	−4.70𝐸+000	5.74𝐸−04	3.52𝐸−01
	StDev	2.18𝐸−03	0.00𝐸+00	−4.66𝐸+000	5.68𝐸−04	8.12𝐸−02
	Mean	9.10𝐸−03	0.00𝐸+00	8.55𝐸−001	1.32𝐸−05	8.74𝐸−01
1.00𝐸+04	Best	1.01𝐸−09	0.00𝐸+00	−7.48𝐸+000	5.66𝐸−04	2.31𝐸−06
	Worst	6.85𝐸−03	0.00𝐸+00	−3.92𝐸+000	5.71𝐸−04	7.67𝐸−01
	Mean	8.92𝐸−04	0.00𝐸+00	−5.39𝐸+000	5.67𝐸−04	8.35𝐸−02
	StDev	8.47𝐸−06	0.00𝐸+00	−5.19𝐸+000	5.66𝐸−04	2.79𝐸−02
	Mean	1.76𝐸−03	0.00𝐸+00	9.49𝐸−001	1.29𝐸−06	1.84𝐸−01