Robust Low-Carbon Discrete Berth Allocation under Uncertainty

被引：4
|
作者：
Yu, Feifei [1 ]
Shan, Qihe [1 ]
Xiao, Yang [2 ]
Teng, Fei [3 ]
机构：
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Univ Alabama, Dept Comp Sci, Tuscaloosa, AL 35487 USA
[3] Dalian Maritime Univ, Coll Marine Elect Engn, Dalian 116026, Peoples R China
来源：
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2022年 / 2022卷
关键词：
D O I：
10.1155/2022/5310004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：9
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