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- Title
Robust Low-Carbon Discrete Berth Allocation under Uncertainty.
- Authors
Yu, Feifei; Shan, Qihe; Xiao, Yang; Teng, Fei
- Abstract
A robust discrete berth allocation method under a low-carbon target is proposed in this study, considering the uncertainty of vessels' arrival time and handling time. According to the actual situation of port operations, a bilevel, biobjective model is established to minimize both average carbon emission and the range of carbon emission during the berthing period. A set of alternative berth allocation schemes, namely, the set of Pareto solutions, are obtained by a heuristic algorithm based on a genetic algorithm. The effectiveness of the proposed method is verified by simulation.
- Subjects
CARBON emissions; HEURISTIC algorithms; GENETIC algorithms
- Publication
International Transactions on Electrical Energy Systems, 2022, p1
- ISSN
2050-7038
- Publication type
Article
- DOI
10.1155/2022/5310004