Abstract
We present a new approach to create instances with high absolute worst-case performance ratio of common lower bounds for the two-dimensional rectangular Strip Packing Problem. The idea of this new approach is to optimize the width and the height of all items regarding the absolute worst case performance ratio of the lower bound. Therefore, we model the pattern related to the lower bound as a solution of an ILP problem and merge this model with the Padberg-type model of the two-dimensional Strip Packing Problem. The merged model maximizes the absolute worst-case performance ratio of the lower bound. We introduce this new model for the horizontal bar relaxation and the horizontal contiguous bar relaxation.
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References
Belov, G., Kartak, V., Rohling, H., Scheithauer, G.: One-dimensional relaxations and LP bounds for orthogonal packing. Int. Trans. Oper. Res. 16, 745–766 (2009)
Padberg, M.: Packing small boxes into a big box. Math. Meth. OR 1, 1–21 (2000)
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Buchwald, T., Scheithauer, G. (2018). Creating Worst-Case Instances for Lower Bounds of the 2D Strip Packing Problem. In: Fink, A., Fügenschuh, A., Geiger, M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-55702-1_15
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DOI: https://doi.org/10.1007/978-3-319-55702-1_15
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