Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm

Suyao Zhao, Chengyi Li, Mengmeng Tian, Hengyuan Zhang, Zhixuan Xiao, Runjiu Hu

Open source

DOI
10.1155/2022/9116121
Published
2022-05-31
Container
Mobile Information Systems
Publisher
Wiley
Open access
unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1155/2022/9116121,
  title = {Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm},
  author = {Suyao Zhao and Chengyi Li and Mengmeng Tian and Hengyuan Zhang and Zhixuan Xiao and Runjiu Hu},
  year = {2022},
  journal = {Mobile Information Systems},
  doi = {10.1155/2022/9116121},
  url = {https://doi.org/10.1155/2022/9116121}
}

RIS

TY  - JOUR
TI  - Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm
AU  - Suyao Zhao
AU  - Chengyi Li
AU  - Mengmeng Tian
AU  - Hengyuan Zhang
AU  - Zhixuan Xiao
AU  - Runjiu Hu
PY  - 2022
JO  - Mobile Information Systems
DO  - 10.1155/2022/9116121
UR  - https://doi.org/10.1155/2022/9116121
ER  - 

APA

Zhao, S., Li, C., Tian, M., Zhang, H., Xiao, Z., & Hu, R. (2022). Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm. Mobile Information Systems. https://doi.org/10.1155/2022/9116121

Source records