Research Article
Dynamically Dimensioned Search Embedded with Piecewise Opposition-Based Learning for Global Optimization
Table 3
Comparison results of acceleration rates and success rates between the DDS-POBL algorithm and DDS algorithm.
| | Function | Success rate (SR) | Acceleration rate () | | DDS-POBL | DDS | | Dim = 30 | Dim = 60 | Dim = 30 | Dim = 60 | Dim = 30 | Dim = 60 |
| | f1 | 1 | 1 | 0 | 0 | 5.68 | 5.62 | | f2 | 1 | 1 | 0 | 0 | 5.75 | 5.60 | | f3 | 1 | 1 | 0 | 0 | 3.09 | 3.06 | | f4 | 1 | 1 | 0 | 0 | 5.44 | 5.33 | | f5 | 1 | 1 | 0 | 0 | 3.07 | 3.05 | | f6 | 1 | 1 | 0 | 0 | 1.25 | 1.10 | | f7 | 1 | 1 | 0 | 0 | 5.58 | 5.53 | | f8 | 1 | 1 | 0 | 0 | 11.51 | 11.23 | | f9 | 0 | 0 | 0 | 0 | 1 | 1 | | f10 | 1 | 1 | 0 | 0 | 6.82 | 6.81 | | f11 | 0 | 0 | 0 | 0 | 1 | 1 | | f12 | 0 | 0 | 0 | 0 | 1 | 1 | | f13 | 1 | 1 | 0 | 0 | 9.32 | 9.20 | | f14 | 1 | 0.94 | 0 | 0 | 1.27 | 1.02 | | f15 | 0 | 0 | 0 | 0 | 1 | 1 | | f16 | 1 | 1 | 0 | 0 | 6.26 | 6.19 | | f17 | 1 | 1 | 0 | 0 | 5.73 | 5.61 | | f18 | 0 | 0 | 0 | 0 | 1 | 1 | | f19 | 1 | 1 | 0 | 0 | 1.26 | 1.05 | | f20 | 1 | 1 | 0 | 0 | 4.96 | 4.90 | | f21 | 1 | 1 | 1 | 1 | 1 | 1 | | f22 | 0 | 0 | 0 | 0 | 1 | 1 | | f23 | 0 | 0 | 0 | 0 | 1 | 1 | | Average | 0.7391 | 0.7365 | 0.0435 | 0.0435 | 3.70 | 3.62 |
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