A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems
How to balance the objectives and constraints better is the key to solving constrained multi-objective optimization problems (CMOPs). Many evolutionary algorithms struggle to fully converge to the entire Pareto front, especially in CMOPs with narrow and complex feasible regions, which posing signifi...
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| Published in: | Engineering applications of artificial intelligence Vol. 158; p. 111419 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
15.10.2025
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| Subjects: | |
| ISSN: | 0952-1976 |
| Online Access: | Get full text |
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