A reduced cost-based restriction and refinement matheuristic for stochastic network design problem

Fatemeh Sarayloo (), Teodor Gabriel Crainic () and Walter Rei
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Fatemeh Sarayloo: Université de Montréal
Teodor Gabriel Crainic: Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise la Logistique et le Transport (CIRRELT)
Walter Rei: Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise la Logistique et le Transport (CIRRELT)

Journal of Heuristics, 2021, vol. 27, issue 3, No 3, 325-351

Abstract: Abstract We propose a solution approach for stochastic network design problems with uncertain demands. We investigate how to efficiently use reduced cost information as a means of guiding variable fixing to define a restriction that reduces the complexity of solving the stochastic model without sacrificing the quality of the solution obtained. We then propose a matheuristic approach that iteratively defines and explores restricted regions of the global solution space that have a high potential of containing good solutions. Extensive computational experiments show the effectiveness of the proposed approach in obtaining high-quality solutions, while reducing the computational effort to obtain them.

Keywords: Stochastic capacitated network design; Uncertain multicommodity demand; Two-stage formulation; Reduced cost-based guidance; Matheuristic (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10732-020-09460-y

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