A Bio-Inspired Data-Driven Hybrid Optimization Framework for Task Unit Partition in Cruise Itinerary Planning

Zixiang Zhang, Dening Song, Jinghua Li

Open source

DOI: 10.3390/biomimetics11040239
Published: 2026-04-02
Container: Biomimetics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/biomimetics11040239,
  title = {A Bio-Inspired Data-Driven Hybrid Optimization Framework for Task Unit Partition in Cruise Itinerary Planning},
  author = {Zixiang Zhang and Dening Song and Jinghua Li},
  year = {2026},
  journal = {Biomimetics},
  doi = {10.3390/biomimetics11040239},
  url = {https://doi.org/10.3390/biomimetics11040239}
}

RIS

TY  - JOUR
TI  - A Bio-Inspired Data-Driven Hybrid Optimization Framework for Task Unit Partition in Cruise Itinerary Planning
AU  - Zixiang Zhang
AU  - Dening Song
AU  - Jinghua Li
PY  - 2026
JO  - Biomimetics
DO  - 10.3390/biomimetics11040239
UR  - https://doi.org/10.3390/biomimetics11040239
ER  -

APA

Zhang, Z., Song, D., & Li, J. (2026). A Bio-Inspired Data-Driven Hybrid Optimization Framework for Task Unit Partition in Cruise Itinerary Planning. Biomimetics. https://doi.org/10.3390/biomimetics11040239

Source records

crossref · retrieved 2026-09-26T06:33:58.386Z