Multi-Objective Multi-Exemplar Particle Swarm Optimization Algorithm with Local Awareness
Many machine learning algorithms excel at handling problems with conflicting objectives. Multi-Objective Optimization (MOO) algorithms play a crucial role in this process by enabling them to navigate these trade-offs effectively. This capability is essential for solving complex problems across diver...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Electrical and Electronics Engineers
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113714/1/113714.pdf http://psasir.upm.edu.my/id/eprint/113714/ https://ieeexplore.ieee.org/document/10591975/ |
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