A Two-Archive Many-Objective Optimization Algorithm Based on D-Domination and Decomposition
Decomposition-based evolutionary algorithms are popular with solving multi-objective optimization problems. It uses weight vectors and aggregate functions to keep the convergence and diversity. However, it is hard to balance diversity and convergence in high-dimensional objective space. In order to...
| Published in: | Algorithms |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/15/11/392 |