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Descripción

We study the planning problem of selecting services and transfers in a synchromodal network to transport freights with diff erent characteristics, over a multi-period horizon. The evolution of the network over time is determined by the decisions made, the schedule of the services, and the new freights that arrive each period. Although freights become known gradually over time, the planner has probabilistic knowledge about their arrival. Using this knowledge, the planner balances current and future costs at each period, with the objective of minimizing the total costs over the entire horizon. To model this stochastic and multi-period tradeoff , we propose a Markov Decision Process (MDP) model. To overcome the computational complexity of solving the MDP, we propose an Approximate Dynamic Programming (ADP) approach. Using diff erent problem settings, we show that our look-ahead approach has significant benefi ts compared to a benchmark heuristic.

Pertenece a

University of Twente Publications  

Autor(es)

Pérez Rivera, Arturo -  Mes, Martijn - 

Id.: 69713711

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Tipo de recurso: Report  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [References] http://doc.utwente.nl/103987/1/wp_504.pdf

Fecha de contribución: 23-mar-2017

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