A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
Wu, Li-Jiao, Shi, Lin 
ORCID: https://orcid.org/0000-0002-4359-4764, Zhan, Zhi-Hui ORCID: https://orcid.org/0000-0003-0862-0514, Lai, Kuei-Kuei ORCID: https://orcid.org/0000-0001-6049-1161 and Zhang, Jun ORCID: https://orcid.org/0000-0003-4148-4294
(2022)
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling.
IEEE Transactions on Emerging Topics in Computational Intelligence, 6 (6).
pp. 1438-1452.
ISSN 2471-285X
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/47350 |
| DOI | 10.1109/TETCI.2022.3170520 |
| Official URL | https://ieeexplore.ieee.org/document/9778848 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | vehicle routing; ant colony optimization; dynamic scheduling; costs; logistics industry; smart cities |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)