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- W2588175376 abstract "Extra reshuffling may occur when lifting containers up for loading onto ships. One way to improve loading efficiency is to optimize the container storage strategy in order to fit the loading sequence. This paper proposes a two-stage algorithm to solve for a better storage strategy. The optimization goal is to minimize the number of container reshuffling operations. In the first stage, Markov forecast is applied to obtain a generalized delivery sequence, and then GA (Genetic Algorithm) is developed to solve the sequence-based model. And in the second stage, a heuristic algorithm is used to obtain a real-time storage proposal. Several sets of experimental results demonstrate the effectiveness and practicability of the model and the algorithm by means of the comparison with the storage plan from exact solution and actual rules." @default.
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- W2588175376 date "2016-07-01" @default.
- W2588175376 modified "2023-10-01" @default.
- W2588175376 title "Storage optimization for export containers based on generalized delivery sequence" @default.
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- W2588175376 doi "https://doi.org/10.1109/liss.2016.7854517" @default.
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