Research Article
Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches
Table 10
Results of t-test for TPs 5ā13.
| TP number | GA-3 versus AIA-2 | GA-3 versus RGA-PSO | GA-3 versus AIA-PSO | AIA-2 versus RGA-PSO | AIA-2 versus AIA-PSO | RGA-PSO versus AIA-PSO |
| 5 | 0.000* | 0.000* | 0.000* | 0.485 | 0.163 | 0.002* | 6 | 0.112 | 0.000* | 0.000* | 0.000* | 0.000* | 0.682 | 7 | 0.000* | 0.000* | 0.000* | 0.000* | 0.000* | 0.358 | 8 | 0.000* | 0.000* | 0.000* | 0.000* | 0.000* | 0.291 | 9 | 0.000* | 0.000* | 0.000* | 0.516 | 0.814 | 0.577 | 10 | 0.000* | 0.000* | 0.000* | 0.009* | 0.001* | 0.001* | 11 | 0.000* | 0.000* | 0.000* | 0.069 | 0.013* | 0.884 | 12 | 0.049* | 0.389 | 0.178 | 0.000* | 0.007* | 0.014* | 13 | 0.003* | 0.001* | 0.000* | 0.240 | 0.000* | 0.019* |
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Represents that the mean values obtained using two algorithms are statistically different.)
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