Abstract
The generation of competitive stowage plans have become a priority for the shipping industry. Stowage planning is NP-hard and is a challenging optimization problem in practice. Two-phase decomposition approaches have proved to give viable solutions. We propose a large neighborhood search (LNS) to solve the first of the two phases, the multi-port master planning problem. Our approach combines the strength of mathematical modeling with the flexibility of a local search. We show how the new approach can solve more instances than previous mathematical models, and present an analysis of its performance.
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Pacino, D. (2013). An LNS Approach for Container Stowage Multi-port Master Planning. In: Pacino, D., Voß, S., Jensen, R.M. (eds) Computational Logistics. ICCL 2013. Lecture Notes in Computer Science, vol 8197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41019-2_3
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DOI: https://doi.org/10.1007/978-3-642-41019-2_3
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