Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review
The berth allocation and quay crane assignment problem (BACAP) is a representative port-terminal scheduling problem in maritime transportation and freight logistics, where vessel arrivals, berth positions, service durations, and quay?crane availability are tightly coupled. Under uncertainties such as arrival deviations, handling-time fluctuations, and resource disruptions, schedules optimized under nominal assumptions may become fragile during execution, motivating the study of robust metaheuristic optimization for BACAP in port-terminal operations. Although population-based metaheuristics have been widely used for BACAP and related port-scheduling problems, existing studies remain fragme...
| Authors | Peilan Xu, Yang Li, Wenjian Luo |
|---|---|
| Primary category | cs.AI |
| Published | 6 July 2026 |
| Last updated at source | 8 September 2026 |
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