Abstract
We investigate the 2D guillotine knapsack packing problem, where the objective is to select and pack a set of rectangles into a sheet with fix size and maximize the total profit of packed rectangles. We combine well known two methods namely top-down approach and bottom-up approach into a coherent algorithm to address this problem. Computational experiments on benchmark test sets show that our approach could find optimal solution for almost all the instances with moderate size and outperform all existing approaches for the larger instances.
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Wei, L., Lim, A., Zhu, W. (2013). A Bidirectional Building Approach for the 2D Guillotine Knapsack Packing Problem. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_24
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DOI: https://doi.org/10.1007/978-3-642-38577-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38576-6
Online ISBN: 978-3-642-38577-3
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