Research Article
A Danger-Theory-Based Immune Network Optimization Algorithm
Table 5
Results (errors) in 10-dimensional spaces.
| | | | Function errors of the optimal solution | Number of peaks |
| | | dt-aiNet | −10 (−10) | 1 (0) | | CLONALG |
1 (1) | 57.80 (7.26) | | opt-aiNet | −3 (−3) | 13.76 (6.81) | | | dopt-aiNet | −2 (−2) | 46.49 (1.33) |
| | | dt-aiNet | −7 (−7) | 1 (0.1) | | CLONALG |
1 (1) | 123.6 (11.02) | | opt-aiNet | −3 (−3) | 5 (1.17) | | | dopt-aiNet | −1 (−1) | 12.2 (2.32) |
| | | dt-aiNet | −2 (−2) | 188.33 (0.31) | | CLONALG |
2 (2) | 45.6 (20.28) | | opt-aiNet |
1 (1) | 433.55 (3.43) | | | dopt-aiNet |
1 (1) | 52.5 (4.67) |
| | | dt-aiNet |
0 (0) | 193.5 (5.65) | | CLONALG |
4 (4) | 376.67 (5.19) | | opt-aiNet |
3 (3) | 379.43 (0.33) | | | dopt-aiNet |
3 (3) | 41.61 (2.26) |
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