Solving bilevel problems under uncertainty with embedded neural networks: Incorporating scenario sets as inputs
Bilevel optimization is a sub-field of optimization widely valued both in academia and business due to its suitability to identify the best solutions for hierarchical decision-making processes. The predominant approach to solving bilevel problems involves reformulating them as single-level equivalen...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-09-01
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| coleção: | Digital Chemical Engineering |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2772508125000377 |
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