Abstract
This study examines the berth allocation problem with the consideration of uncertainty factors, including the arrival and operation times of the calling vessels. A bi-objective robust berth allocation model, which focuses on economic performance and customer satisfaction, is formulated. The model aims to optimize the robustness of the berth allocation policy, and an adaptive grey wolf optimizer algorithm is developed to solve the proposed model. The performance of the heuristic is evaluated through randomly generated instances. Experimental results show that the proposed heuristic provides good solution quality and calculation efficiency.
| Original language | English |
|---|---|
| Pages (from-to) | 294-319 |
| Number of pages | 26 |
| Journal | Transportation Research Part E: Logistics and Transportation Review |
| Volume | 106 |
| DOIs | |
| Publication status | Published - Oct 2017 |
| Externally published | Yes |
Keywords
- Adaptive grey wolf optimizer algorithm
- Berth allocation scheduling problem
- Container terminals
- Robust optimization
- Uncertainty
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Xiang, X., Liu, C., & Miao, L. (2017). A bi-objective robust model for berth allocation scheduling under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 106, 294-319. https://doi.org/10.1016/j.tre.2017.07.006