Abstract
The paper is concerned with a hazmat vehicle routing problem. Two objectives are considered: (1) minimizing the total travel cost and (2) minimizing the total travel risk. A path-based risk estimation method is proposed to make the risk analysis more reasonable. A numerical study is carried out and the non-dominated solution is calculated by the modified ant colony optimization. Results show that our model can significantly reduce the travel risk, and the algorithm we proposed is effective in finding the non-dominated solutions.
Original language | English |
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Title of host publication | Proceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 |
Editors | Lean Yu, Rongda Chen, Shouyang Wang |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 643-646 |
Number of pages | 4 |
ISBN (Electronic) | 9781479947775 |
DOIs | |
Publication status | Published - 18 Nov 2014 |
Externally published | Yes |
Event | 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 - Hangzhou, Zhejiang, China Duration: 14 Nov 2013 → 16 Nov 2013 |
Publication series
Name | Proceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 |
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Conference
Conference | 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 |
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Country/Territory | China |
City | Hangzhou, Zhejiang |
Period | 14/11/13 → 16/11/13 |
Keywords
- ant colony optimization
- hazardous material
- vehicle routing problem
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Xu, T., Yang, F., Li, J., & Yuan, W. (2014). A bi-objective mathematical model for hazmat vehicle routing problem with path-based risk estimation. In L. Yu, R. Chen, & S. Wang (Eds.), Proceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 (pp. 643-646). Article 6961218 (Proceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIFE.2013.132