Zhou, Yutao (2024) Research on Modeling of Multi — vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm. In: Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China.
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Abstract
A multi-vehicle supply chain logistics transportation scheduling model based on improved ant colony algorithm is studied to realize high speed and high quality path optimization and reduce transportation cost and time.Based on basic ant colony algorithm of heuristic information function and pheromon
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:05 |
| Last Modified: | 17 Apr 2026 00:57 |
| URI: | http://eprints.eai.eu/id/eprint/46810 |
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