Fast Neighborhood Search Heuristics for the Colorful Bin Packing Problem: Conclusion and References

Authors: Renan F. F. da Silva, Institute of Computing, University of Campinas; Yulle G. F. Borges, Institute of Computing, University of Campinas; Rafael C. S. Schouery, Institute of Computing, University of Campinas. 9 Conclusion Our approaches were quite effective, enabling us to find solutions very close to the optimal solution, even in instances with many items.

Journal on Computing 32:101–119. https://doi.org/ 10.1287/ijoc.2018.0880 Delorme M, Iori M, Martello S Bpplib: a library for bin packing and cutting stock problems. Optimization Letters 12:235–250. https://doi.org/10.1007/s11590-017-1192-z Demˇsar J Statistical comparisons of classifiers over multiple data sets. The Journal of Machine learning research 7:1–30 D´osa G, Epstein L Colorful bin packing. In: Ravi R, Gørtz IL Algorithm Theory – SWAT 2014.

Journal on Computing 32:428–443. https://doi.org/10.1287/ijoc.2018.0867 This paper is available on arxiv under CC 4.0 license. Authors: Renan F. F. da Silva, Institute of Computing, University of Campinas; Yulle G. F. Borges, Institute of Computing, University of Campinas; Rafael C. S. Schouery, Institute of Computing, University of Campinas. Authors: Renan F. F. da Silva, Institute of Computing, University of Campinas; Yulle G. F.

Journal on Computing 32:101–119. https://doi.org/ 10.1287/ijoc.2018.0880 Delorme M, Iori M, Martello S Bpplib: a library for bin packing and cutting stock problems. Optimization Letters 12:235–250. https://doi.org/10.1007/s11590-017-1192-z Demˇsar J Statistical comparisons of classifiers over multiple data sets. The Journal of Machine learning research 7:1–30 D´osa G, Epstein L Colorful bin packing. In: Ravi R, Gørtz IL Algorithm Theory – SWAT 2014.

Journal on Computing 32:428–443. https://doi.org/10.1287/ijoc.2018.0867 This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

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