Abstract
We examine the multiple container loading cost minimization problem (MCLCMP), where the objective is to load products of various types into containers of various sizes so as to minimize the total container cost. We transform the MCLCMP into an extended set cover problem that is formulated using linear integer programming and solve it with a heuristic to generate columns. Experiments on standard bin-packing instances show our approach is superior to prior approaches.
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Che, C.H., Huang, W., Lim, A., Zhu, W. (2011). A Heuristic for the Multiple Container Loading Cost Minimization Problem. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_28
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DOI: https://doi.org/10.1007/978-3-642-21827-9_28
Publisher Name: Springer, Berlin, Heidelberg
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