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• W2897983212 abstract "In this paper, we address a one-dimensional bin packing problem with bin-specific usage cost. The cost coefficients have a direct linear relationship to the bin index, favoring packings with higher loads in “earlier” bins. We show how lower bounding schemes known from standard bin packing can be adapted to fit this objective function and conduct a worst-case performance analysis. The contribution also covers a conceptually new lower bound for the problem at hand. Computational experience based on randomly generated instances and benchmark libraries provides strong evidence for high quality bounds achievable with low computational effort. This observation is further underpinned by a successful embedding of the lower bounds into a branch-and-bound approach as a computational framework. Clear advantages over a state-of-the-art mixed-integer programming formulation can be obtained for particular problem settings." @default.
• W2897983212 created "2018-10-26" @default.
• W2897983212 creator A5088742299 @default.
• W2897983212 date "2019-04-01" @default.
• W2897983212 modified "2023-10-15" @default.
• W2897983212 title "Lower bounds for a bin packing problem with linear usage cost" @default.
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• W2897983212 doi "https://doi.org/10.1016/j.ejor.2018.10.004" @default.
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