Research Article
Using Objective Clustering for Solving Many-Objective Optimization Problems
Table 5
The success rate in identifying the true nonredundant objective set
with two algorithms out of 20 runs.
| | Test problems | Success rate with OC-ORA | Success rate with L-PCA |
| | DTLZ2 | 20/20 | 20/20 | | DTLZ2 | 20/20 | 19/20 | | DTLZ2 | 19/20 | 14/20 | | DTLZ5 (2,5) | 20/20 | 18/20 | | DTLZ5 (3,5) | 20/20 | 19/20 | | DTLZ5 (2,10) | 19/20 | 7/20 | | DTLZ5 (3,10) | 20/20 | 2/20 | | DTLZ5 (5,10) | 17/20 | 3/20 | | DTLZ5 (2,20) | 18/20 | 2/20 | | DTLZ5 (5,20) | 15/20 | 3/20 |
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