RT Journal Article
T1 Benchmark dataset and instance generator for real-world three-dimensional bin packing problems
A1 Osaba, Eneko
A1 Villar-Rodriguez, Esther
A1 V.Romero, Sebastián
AB In this article, a benchmark for real-world bin packing problems is proposed. This dataset consists of 12 instances of varying levels of complexity regarding size (with the number of packages ranging from 38 to 53) and user-defined requirements. In fact, several real-world-oriented restrictions were taken into account to build these instances: i) item and bin dimensions, ii) weight restrictions, iii) affinities among package categories iv) preferences for package ordering and v) load balancing. Besides the data, we also offer an own developed Python script for the dataset generation, coined Q4RealBPP-DataGen. The benchmark was initially proposed to evaluate the performance of quantum solvers. Therefore, the characteristics of this set of instances were designed according to the current limitations of quantum devices. Additionally, the dataset generator is included to allow the construction of general-purpose benchmarks. The data introduced in this article provides a baseline that will encourage quantum computing researchers to work on real-world bin packing problems.
SN 2352-3409
YR 2023
FD 2023-08
LK https://hdl.handle.net/11556/3361
UL https://hdl.handle.net/11556/3361
LA eng
NO Osaba , E , Villar-Rodriguez , E & V.Romero , S 2023 , ' Benchmark dataset and instance generator for real-world three-dimensional bin packing problems ' , Data in Brief , vol. 49 , 109309 . https://doi.org/10.1016/j.dib.2023.109309
NO Publisher Copyright: © 2023 The Author(s)
NO This work was supported by the Basque Government through ELKARTEK program (BRTA-QUANTUM project, KK-2022/00041), and through HAZITEK program (Q4_Real project, ZE-2022/00033). This work was also supported by the Spanish CDTI through Plan Complementario Comunicación Cuántica (EXP. 2022/01341) (A/20220551). This work was supported by the Basque Government through ELKARTEK program (BRTA-QUANTUM project, KK-2022/00041 ), and through HAZITEK program (Q4_Real project, ZE-2022/00033 ). This work was also supported by the Spanish CDTI through Plan Complementario Comunicación Cuántica (EXP. 2022/01341 ) ( A/20220551 ).
DS TECNALIA Publications
RD 28 jul 2024