Crude Oil Price Prediction Based on a Dynamic Correcting Support Vector Regression Machine

Table 2

Testing results of  HRGA and standard RGA.

Function	Hunting zone	Dimension	Iterative times	RGA		HRGA
				Parameter selection	Mean value of; optimum	Parameter selection	Mean value of; optimum
	(−100,100)	2	250	𝑃𝑐=0.9; 𝑃𝑚=0.1	8.3421𝑒−6	𝑃𝑐=0.85; 𝑃𝑚=0.3	1.9824𝑒−125
Sphere	(−100,100)	10	1000	𝑃𝑐=0.9; 𝑃𝑚=0.1	0.0437	𝑃𝑐=0.85; 𝑃𝑚=0.3	1.4597𝑒−67
	(−100,100)	20	1500	𝑃𝑐=0.9; 𝑃𝑚=0.1	0.1012	𝑃𝑐=0.85; 𝑃𝑚=0.3	1.5775𝑒−31
	(−30,30)	2	250	𝑃𝑐=0.85; 𝑃𝑚=0.1	0.5311	𝑃𝑐=0.6; 𝑃𝑚=0.3	0.0195
Rosenbrock	(−30,30)	10	1000	𝑃𝑐=0.85; 𝑃𝑚=0.1	15.0766	𝑃𝑐=0.6; 𝑃𝑚=0.3	3.0922
	(−30,30)	20	1500	𝑃𝑐=0.85; 𝑃𝑚=0.1	124.2468	𝑃𝑐=0.6; 𝑃𝑚=0.3	8.0576
	(−600,600)	2	250	𝑃𝑐=0.8; 𝑃𝑚=0.15	0.0062	𝑃𝑐=0.5; 𝑃𝑚=0.4	0.0044
Griewank	(−600,600)	10	1000	𝑃𝑐=0.8; 𝑃𝑚=0.15	0.1468	𝑃𝑐=0.5; 𝑃𝑚=0.4	0.0132
	(−600,600)	20	1500	𝑃𝑐=0.8; 𝑃𝑚=0.15	0.0191	𝑃𝑐=0.5; 𝑃𝑚=0.4	2.0109𝑒−3