An Improved Integer L -Shaped Method for the Vehicle Routing Problem with Stochastic Demands

Y. N. Hoogendoorn () and R. Spliet ()
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Y. N. Hoogendoorn: Erasmus School of Economics, Erasmus University Rotterdam, 3062 Rotterdam, Netherlands
R. Spliet: Erasmus School of Economics, Erasmus University Rotterdam, 3062 Rotterdam, Netherlands

INFORMS Journal on Computing, 2023, vol. 35, issue 2, 423-439

Abstract: We present an improved integer L -shaped method for the vehicle routing problem with stochastic demands. It exhibits speedups up to a factor of 325 compared with the current state-of-the-art, which allows us to solve 153 previously unsolved benchmark instances to optimality. The algorithm builds on the state-of-the-art in a few ways. First, we rectify a few technical issues found in the current literature. Second, we improve valid inequalities known as partial route inequalities. Finally, we introduce three new types of valid inequalities.

Keywords: stochastic programming; integer L -shaped method; vehicle routing problem; stochastic demands (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orijoc:v:35:y:2023:i:2:p:423-439

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