In this paper, we present a branch-and-price method to solve special structured multistage stochastic integer programming problems. We validate our method on two different versions of a multistage stochastic batchsizing problem (SBSP). One version adopts a recourse formulation, and the other is based on probabilistic constraints. Our algorithmic approach is applicable to both formulations. Our computational results suggest that both classes of problems can be solved using relatively few nodes of a branch-and-price tree. The success of our approach calls for extensions in methodology as well as applications.

Lulli, G., Sen, S. (2004). A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems. MANAGEMENT SCIENCE, 50(6), 786-796 [10.1287/mnsc.1030.0164].

A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems

LULLI, GUGLIELMO;
2004

Abstract

In this paper, we present a branch-and-price method to solve special structured multistage stochastic integer programming problems. We validate our method on two different versions of a multistage stochastic batchsizing problem (SBSP). One version adopts a recourse formulation, and the other is based on probabilistic constraints. Our algorithmic approach is applicable to both formulations. Our computational results suggest that both classes of problems can be solved using relatively few nodes of a branch-and-price tree. The success of our approach calls for extensions in methodology as well as applications.
Articolo in rivista - Articolo scientifico
stochastic programming; integer programming; batch sizing; branch-and-price algorithm
English
786
796
11
Lulli, G., Sen, S. (2004). A Branch-and-Price Algorithm for Multistage Stochastic Integer Programming with Application to Stochastic Batch-Sizing Problems. MANAGEMENT SCIENCE, 50(6), 786-796 [10.1287/mnsc.1030.0164].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/28597
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