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An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem
This paper presents a new class of multiple-follower bilevel problems and a heuristic approach to solving them. In this new class of problems, the followers may be nonlinear, do not share constraints or variables, and are at most weakly constrained. This allows the leader variables to be partitioned...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550664/ https://www.ncbi.nlm.nih.gov/pubmed/34776568 http://dx.doi.org/10.1007/s00291-021-00638-9 |