An Efficient Branch-and-Bound Algorithm for Globally Minimizing a Class of Generalized Linear Multiplicative Programs
This study presents a novel algorithm for globally solving generalized linear multiplicative programming (GLMP) problems. We first introduce a convex-separation technique to craft a tight yet computationally tractable linear relaxation that supplies strong lower bounds for the original nonconvex for...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2025-01-01
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| coleção: | Journal of Mathematics |
| Acesso em linha: | http://dx.doi.org/10.1155/jom/4452933 |
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