A Robust Possibilistic Programming Approach for a Road-Rail Intermodal Routing Problem with Multiple Time Windows and Truck Operations Optimization under Carbon Cap-and-Trade Policy and Uncertainty
- DOI
- 10.3390/systems10050156
- Published
- 2022-09-16
- Container
- Systems
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/systems10050156,
title = {A Robust Possibilistic Programming Approach for a Road-Rail Intermodal Routing Problem with Multiple Time Windows and Truck Operations Optimization under Carbon Cap-and-Trade Policy and Uncertainty},
author = {Yan Sun},
year = {2022},
journal = {Systems},
doi = {10.3390/systems10050156},
url = {https://doi.org/10.3390/systems10050156}
}RIS
TY - JOUR TI - A Robust Possibilistic Programming Approach for a Road-Rail Intermodal Routing Problem with Multiple Time Windows and Truck Operations Optimization under Carbon Cap-and-Trade Policy and Uncertainty AU - Yan Sun PY - 2022 JO - Systems DO - 10.3390/systems10050156 UR - https://doi.org/10.3390/systems10050156 ER -
APA
Sun, Y. (2022). A Robust Possibilistic Programming Approach for a Road-Rail Intermodal Routing Problem with Multiple Time Windows and Truck Operations Optimization under Carbon Cap-and-Trade Policy and Uncertainty. Systems. https://doi.org/10.3390/systems10050156
Source records
- crossref · retrieved 2026-11-08T02:00:44.103Z