Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization
Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted...
Kaydedildi:
| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2025-01-01
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| Seri Bilgileri: | Complex & Intelligent Systems |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s40747-024-01745-0 |
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