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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2503.08711 |
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| _version_ | 1866909534710136832 |
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| author | Wen, Yajie Zhang, Defu |
| author_facet | Wen, Yajie Zhang, Defu |
| contents | This paper introduces BSPA, a parallel algorithm that leverages beam search to address the two-dimensional strip packing problem. The study begins with a comprehensive review of existing approaches and methodologies, followed by a detailed presentation of the BSPA algorithm. Experimental results demonstrate the effectiveness of the proposed method. To facilitate further research, both the code and datasets are publicly available. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_08711 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Beam Search Based Parallel Algorithm for the Two-Dimensional Strip Packing Problem Wen, Yajie Zhang, Defu Optimization and Control Artificial Intelligence This paper introduces BSPA, a parallel algorithm that leverages beam search to address the two-dimensional strip packing problem. The study begins with a comprehensive review of existing approaches and methodologies, followed by a detailed presentation of the BSPA algorithm. Experimental results demonstrate the effectiveness of the proposed method. To facilitate further research, both the code and datasets are publicly available. |
| title | A Beam Search Based Parallel Algorithm for the Two-Dimensional Strip Packing Problem |
| topic | Optimization and Control Artificial Intelligence |
| url | https://arxiv.org/abs/2503.08711 |