An improved multi-objective artificial physics optimization algorithm based on R2 indicator and its application
Artificial Physics Optimization (APO) algorithms in solving constrained multi-objective problems often encounter challenges such as uneven population distribution and imbalances between global and local search capabilities. To address these issues, we propose the Constrained Rank Multi-Objective Art...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-04-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241276279 |
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