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• W2003616778 abstract "In container terminals, the yard area consists of a set of blocks, which consists of a set of bays. Each bay consists of a set of stacks, which consists of a set of tiers. In the container pre-marshalling problem, an initial layout of a bay is converted to a final desired layout. The final layout follows the given loading schedule of this bay. This has a direct impact on the most important container terminal performance measure: the vessel loading time. The deviation between the current layout and the desired layout is expressed by the value of the mis-overlays. The objective of the pre-marshalling problem is to eliminate the mis-overlays with the minimum number of container movements. In this article, a variable chromosome length genetic algorithm was applied to solve the problem. The results of the new solution approach were compared against benchmark instances and the results were remarkably better." @default.
• W2003616778 created "2016-06-24" @default.
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• W2003616778 date "2015-04-13" @default.
• W2003616778 modified "2023-10-18" @default.
• W2003616778 title "Solving the container pre-marshalling problem using variable length genetic algorithms" @default.
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• W2003616778 doi "https://doi.org/10.1080/0305215x.2015.1031661" @default.
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