A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy
Constrained many-objective optimization problems (CMaOPs) have gradually emerged in various areas and are significant for this field. These problems often involve intricate Pareto frontiers (PFs) that are both refined and uneven, thereby making their resolution difficult and challenging. Traditional...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
PeerJ Inc.
2024-07-01
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| Seri Bilgileri: | PeerJ Computer Science |
| Konular: | |
| Online Erişim: | https://peerj.com/articles/cs-2102.pdf |
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