Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems
Real-world optimization tasks often have more than three objectives, hence are Many-objective Optimization Problems (MaOPs). MaOPs are challenging because of the difficulties in obtaining the true Pareto front of high dimensionality. The number of objectives can be reduced. However, existing objecti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8703807/ |