An iterative dynamic programming approach for the temporal knapsack problem
Idioma
en
Article de revue
Este ítem está publicado en
European Journal of Operational Research. 2021-09-01, vol. 293, n° 2
Elsevier
Resumen en inglés
In this paper, we address the temporal knapsack problem (TKP). In this generalization of the classical knapsack problem, selected items enter and leave the knapsack at fixed dates. We solve the TKP with a dynamic program ...Leer más >
In this paper, we address the temporal knapsack problem (TKP). In this generalization of the classical knapsack problem, selected items enter and leave the knapsack at fixed dates. We solve the TKP with a dynamic program of exponential size, which is solved using a method called Successive Sublimation Dynamic Programming (SSDP). This method starts by relaxing a set of constraints from the initial problem, and iteratively reintroduces them when needed. We show that a direct application of SSDP to the temporal knapsack problem does not lead to an effective method, and that several improvements are needed to compete with the best results from the literature.< Leer menos
Palabras clave en inglés
Temporal knapsack
Exact algorithm
Lagrangian Relaxation
Successive Sublimation Dynamic Programming method
Orígen
Importado de HalCentros de investigación