A constrained multi-objective evolutionary algorithm with two-stage resources allocation
The tradeoff between feasibility and optimality is critical to handling constrained multi-objective optimization problems (CMOPs). Thus, many constrained multi-objective evolutionary algorithms (CMOEAs) with multiple stages or multiple populations have been proposed in recent years. However, these a...
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| Published in: | Swarm and evolutionary computation Vol. 79; p. 101313 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.06.2023
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| Subjects: | |
| ISSN: | 2210-6502 |
| Online Access: | Get full text |
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