An Efficient Algorithm for Unconstrained Optimization

Table 2

Time and efficiency.

	Function(dimension)	Part.	Mean Eff.	Time (sec)	Mean Iter.
43	Rastrigin(100)	24	1.000000	2.07	262.50
44	Rastrigin(3)	24	0.999920	5.56	542.21
45	Rastrigin(30)	24	1.000000	2.03	265.33
46	Rastrigin(6)	24	1.000000	1.84	245.08
47	Rosenbrock(10)	24	1.000000	1.64	218.04
48	Rosenbrock(100)	24	0.966926	2.32	674.92
49	Rosenbrock(2)	24	1.000000	0.24	26.33
50	Rosenbrock(30)	12	0.999706	1.68	258.35
51	Rosenbrock(6)	24	1.000000	2.77	241.67
52	Rotated Hyper-Ellipsoid(12)	3	1.000000	1.21	361.04
53	Rotated Hyper-Ellipsoid(120)	3	1.000000	1.25	323.78
54	Rotated Hyper-Ellipsoid(2)	240	1.000000	4.66	20.33
55	Schaffer2(2)	240	1.000000	4.68	21.17
56	Schwefel 26(100)	120	0.924108	16.26	490.50
57	Schwefel 26(2)	120	0.994103	15.93	499.00
58	Shekel(4)	60	0.999580	5.36	322.50
59	Shubert(2)	240	1.000000	4.45	14.08
60	Six-Hump Camel(2)	12	0.999974	2.73	499.00
61	Sphere(12)	3	1.000000	1.02	303.42
62	Sphere(120)	3	1.000000	1.08	315.79
63	Sphere(2)	240	1.000000	4.58	16.96
64	Styblinski-Tang(12)	3	0.999900	1.81	499.00
65	Styblinski-Tang(120)	3	0.999884	1.96	499.00
66	Styblinski-Tang(2)	24	0.999905	0.24	25.17
67	Sum of Different Powers(12)	3	1.000000	0.73	213.79
68	Sum of Different Powers(120)	3	1.000000	0.98	277.65
69	Sum of Different Powers(2)	240	1.000000	15.37	193.75
70	Sum Squares(12)	3	1.000000	0.91	262.38
71	Sum Squares(120)	3	1.000000	1.03	297.25
72	Sum Squares(2)	24	1.000000	0.16	15.38
73	Three-Hump Camel(2)	240	1.000000	4.54	17.29
74	Trid(10)	48	0.993918	10.11	499.00
75	Trid(6)	240	0.996842	32.12	499.00
76	Xin She Yang02(12)	48	1.000000	5.18	157.92
77	Xin She Yang02(120)	48	1.000000	6.86	254.54
78	Xin She Yang02(2)	48	1.000000	4.83	148.83
79	Xin She Yang03(2) (1.08)	3	1.000000	0.55	160.33
80	Zakharov(12)	3	1.000000	1.15	357.21
81	Zakharov(120)	3	0.999958	1.35	430.13
82	Zakharov(2)	240	1.000000	4.55	17.75

The overall success of different global optimizers according to Gavana [18].