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An Island-Based Parallel Biased Random-Key Genetic Algorithm for the Three-Dimensional Trailer Loading Problem — arXiv:2609.39272

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.39272
License (as archived): CC0-1.0
Archived: 2026-10-07T13:15:03.093Z
SHA-256 of the archived text: c89b8846d4163097f4f3842c2118eb93a0a34cc68cd0696a914b507f160db753
Stable URL of this page: https://metraipolis.com/documento/dc_4e2bb87f16b0

How to cite

An Island-Based Parallel Biased Random-Key Genetic Algorithm for the Three-Dimensional Trailer Loading Problem — arXiv:2609.39272 — arXiv (en), https://arxiv.org/abs/2609.39272 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_4e2bb87f16b0 (Metraipolis archive dc_4e2bb87f16b0, sha256 c89b8846d4163097f4f3842c2118eb93a0a34cc68cd0696a914b507f160db753)

BibTeX

@misc{dc4e2bb87f16b0,
  title = {An Island-Based Parallel Biased Random-Key Genetic Algorithm for the Three-Dimensional Trailer Loading Problem — arXiv:2609.39272},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.39272},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_4e2bb87f16b0; sha256 c89b8846d4163097f4f3842c2118eb93a0a34cc68cd0696a914b507f160db753},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.39272. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The Three-Dimensional Trailer Loading Problem (3D-TLP) involves determining the optimal placement and orientation of heterogeneous items within the confined space of a trailer while maximizing volume utilization and satisfying a wide range of complex logistical and safety constraints. The 3D-TLP is NP-hard, rendering exact optimization approaches computationally impractical for large-scale industrial applications. To address this challenge, we propose an enhanced Biased Random-Key Genetic Algorithm (BRKGA) accelerated through a novel island-based parallelization framework, PANGEA. The proposed method combines the search efficiency and robustness of BRKGA with a multi-population evolutionary scheme for genetic algorithms. This island-model strategy promotes population diversity, mitigates premature convergence, and significantly reduces computational times. The proposed solution was validated in a real trailer loading process, providing an effective solution approach for real-world large-scale logistics.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-10-01 in cs.DC).
Categorie arXiv: Neural and Evolutionary Computing (cs.NE) ; Distributed, Parallel, and Cluster Computing (cs.DC); Optimization and Control (math.OC).
Pagina del lavoro: https://arxiv.org/abs/2609.39272 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T12:46:39.760Z dalla pagina https://arxiv.org/catchup/cs.DC/2026-10-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).