Pseudo-Polynomial Models for the Colored Bin Packing Problem
Abstract
The Colored Bin Packing Problem consists in packing a set of items, each with a size and a color, into the minimum amount of bins of a given capacity, such that no two items from the same color appear consecutively in the same bin. We propose pseudo-polynomial Integer Programming formulations that solve randomly generated instances of up to 500 items and 15 colors in a matter of seconds.
Keywords:
Combinatorial Optimization, Mathematical Programming
References
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Böhm, M., Dósa, G., Epstein, L., Sgall, J., e Veselý, P. (2018). Colored bin packing: Online algorithms and lower bounds. Algorithmica, 80(1):155–184.
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Balogh, J., Békési, J., Dosa, G., Kellerer, H., e Tuza, Z. (2013). Black and white bin packing. In Proceedings of the 10 th International Workshop on Approximation and Online Algorithms, pages 131–144.
Böhm, M., Dósa, G., Epstein, L., Sgall, J., e Veselý, P. (2018). Colored bin packing: Online algorithms and lower bounds. Algorithmica, 80(1):155–184.
Christofides, N. e Whitlock, C. (1977). An algorithm for two-dimensional cutting problems. Operations Research, 25(1):30–44.
Dolan, E. D. e Moré, J. J. (2002). Benchmarking optimization software with performance profiles. Mathematical programming, 91(2):201–213.
Gurobi Optimization, L. (2020). Gurobi optimizer reference manual.
Herz, J. (1972). Recursive computational procedure for two-dimensional stock cutting. IBM Journal of Research and Development, 16(5):462–469.
Kantorovich, L. V. (1939). The mathematical method of production planning and organization. Management Science, 6:363–422.
Valério De Carvalho, J. (1999). Exact solution of bin-packing problems using column generation and branch-and-bound. Annals of Operations Research, 86:629-659.
Published
2020-06-30
How to Cite
BORGES, Yulle G. F.; SCHOUERY, Rafael C. S..
Pseudo-Polynomial Models for the Colored Bin Packing Problem. In: PROCEEDINGS OF THE THEORY OF COMPUTATION MEETING (ETC), 5. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 37-40.
ISSN 2595-6116.
DOI: https://doi.org/10.5753/etc.2020.11084.
