A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling

Full text for this resource is not available from the Research Repository.

Wu, Li-Jiao, Shi, Lin ORCID: 0000-0002-4359-4764, Zhan, Zhi-Hui ORCID: 0000-0003-0862-0514, Lai, Kuei-Kuei ORCID: 0000-0001-6049-1161 and Zhang, Jun ORCID: 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://vuir.vu.edu.au/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

Search Google Scholar

Repository staff login