Research Article

A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification

Table 4

Multimodal function test results.

FunctionDimensionEvaluating indicatorReference [4] BBOReference [24] DEReference [25] EHOReference [26] DEBBOReference [27] BBOPSOThe proposed method

D = 10Best
Ave
Std
2.59 E − 02
5.18 E − 02
2.26 E − 02
1.41 E − 19
2.97 E − 16
5.21 E − 16
3.59 E − 06
4.66 E − 06
8.50 E − 07
4.91 E − 06
8.09 E − 05
5.62 E − 05
9.43 E − 09
1.58 E − 05
1.77 E − 05
1.26 E268.04 E251.73 E24
D = 30Best
Ave
Std
3.24 E − 01
7.83 E − 01
2.94 E − 01
7.41 E + 00
1.11 E + 01
1.97 E + 00
5.22 E − 06
7.12 E − 05
1.75 E − 05
4.50 E − 03
6.21 E − 02
5.85 E − 02
4.43 E − 03
9.06 E − 03
3.07 E − 03
9.64 E161.05 E133.65 E13
D = 50Best
Ave
Std
2.32 E + 00
3.26 E + 00
5.16 E − 01
3.12 E + 01
3.62 E + 01
2.45 E + 00
1.68 E − 04
2.29 E − 04
5.69 E − 05
3.33 E − 01
1.15 E + 00
5.32 E − 01
4.26 E − 02
1.58 E − 01
1.41 E − 01
3.55 E131.03 E102.92 E10

D = 10Best
Ave
Std
1.00 E + 00
1.07 E + 00
4.12 E − 02
1.00 E + 00
1.00 E + 00
0.00 E + 00
1.10 E + 00
1.14 E + 00
2.33 E − 02
0.00 E+00
2.48 E − 02
1.57 E − 02
0.00 E+002.95 E − 02
2.54 E − 02
0.00 E+000.00 E+000.00 E+00
D = 30Best
Ave
Std
1.88 E + 00
2.40 E + 00
3.36 E − 01
1.00 E + 00
1.00 E + 00
7.20 E − 04
2.90 E + 00
3.61 E + 00
5.98 E − 01
6.03 E − 10
1.50 E − 03
3.20 E − 03
3.66 E − 07
1.24 E − 02
2.40 E − 02
0.00 E+000.00 E+000.00 E+00
D = 50Best
Ave
Std
4.86 E + 00
8.00 E + 00
2.26 E + 00
1.12 E + 00
1.18 E + 00
3.33 E − 02
7.72 E + 00
9.82 E + 00
1.01 E + 00
4.22 E − 05
1.90 E035.00 E03
9.11 E − 02
1.78 E − 01
6.79 E − 02
02.22 E177.02 E17

D = 10Best
Ave
Std
8.70 E − 01
2.05 E + 00
6.17 E − 01
3.43 E − 11
8.75 E − 11
6.33 E − 11
7.20 E − 03
8.10 E − 03
6.43 E − 04
2.66 E152.66 E150.00 E+006.22 E − 15
8.85 E − 13
2.54 E − 12
2.66 E152.66 E150.00 E+00
D = 30Best
Ave
Std
3.58 E + 00
4.30 E + 00
4.09 E − 01
1.28 E − 02
1.63 E − 02
2.30 E − 03
1.44 E − 02
1.56 E − 02
7.98 E − 04
5.12 E − 06
6.50 E − 06
2.13 E − 06
1.08 E − 04
2.66 E − 04
1.25 E − 04
1.23 E131.23 E131.07 E12
D = 50Best
Ave
Std
5.43 E + 00
6.18 E + 00
5.51 E − 01
2.14 E + 00
2.57 E + 00
2.98 E − 01
1.71 E − 02
1.88 E − 02
9.30 E − 02
8.84 E − 04
1.70 E − 03
1.20 E − 03
2.74 E − 02
7.18 E − 02
6.75 E − 02
1.75 E109.85 E109.57 E10

D = 4Best
Ave
Std
6.13 E − 04
2.70 E − 03
4.30 E − 03
3.17 E − 04
6.10 E − 04
4.01 E − 04
3.24 E − 04
3.52 E − 04
2.27 E − 05
3.16 E − 04
9.99 E − 04
1.20 E − 03
4.91 E − 04
7.38 E − 04
3.14 E − 04
3.08 E043.23 E042.26 E05