Cargo Routing Optimization in Liner Shipping Networks

Given a maritime liner network, the cargo routing problem consists of determining which maritime routes containers will take to be transported from their loading port to their destination port. This constrained optimization problem is an essential task in the context of maritime commodity transportation, both in terms of network design and operational implementation. Several variants of this problem have been considered depending on their usage (e.g. for designing the network or for carrying containers in practice), the constraints taken into account or the criterion to be optimized. In this article, we address several variants of this problem, relying on the flexibility of Constraint Programming. First, we propose two general COP models. Then, we describe a local search method that can be easily adapted to the desired context. Finally, we experimentally compare our two models and the proposed method.

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Publication Details

Journal
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Published
2025-01-01
DOI
https://doi.org/10.4230/lipics.cp.2025.11
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Cargo Routing Optimization in Liner Shipping Networks

Djamal Habet, Cyril Terrioux, Yousra El Ghazi
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Vehicle Routing Optimization Methods
article

Cargo Routing Optimization in Liner Shipping Networks

Djamal Habet, Cyril Terrioux, Yousra El Ghazi
article en

Abstract

Given a maritime liner network, the cargo routing problem consists of determining which maritime routes containers will take to be transported from their loading port to their destination port. This constrained optimization problem is an essential task in the context of maritime commodity transportation, both in terms of network design and operational implementation. Several variants of this problem have been considered depending on their usage (e.g. for designing the network or for carrying containers in practice), the constraints taken into account or the criterion to be optimized. In this article, we address several variants of this problem, relying on the flexibility of Constraint Programming. First, we propose two general COP models. Then, we describe a local search method that can be easily adapted to the desired context. Finally, we experimentally compare our two models and the proposed method.

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Laboratoire d’Informatique et Systèmes (FR)
Bpifrance
Openalex Percentile: Top 53%
Vehicle Routing Optimization Methods
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