A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem with Uncertain Weight Information

被引:0
作者
Li, Jiawei [1 ]
Zhou, Can [1 ]
Wu, Kejia [1 ]
Bai, Ruibin [1 ]
机构
[1] Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo, Peoples R China
来源
2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021) | 2021年
关键词
container stacking problem; heuristic; fuzzy logic; uncertainty; STRATEGIES;
D O I
10.1109/SSCI50451.2021.9660070
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The weight information of an outbound container is often inaccurate, and it cannot be determined until its arrival at a port terminal. In order to fit all containers in a yard into the required loading sequence, re-handling operations are frequently unavoidable due to uncertainty. The planning of container storage location aims to minimize the amount of re-handling operations. We study a fuzzy logic-based heuristic algorithm for the outbound container stacking problem with uncertain weight information in this paper. Based on evaluating the lower and upper bound of re-handling, the parameters of the algorithm are tuned online in handling weight uncertainty. The computational complexity of the proposed algorithm is very low because it is independent from re-handling algorithms. We conduct simulations on two types of container weight datasets, uniform and standard distributions.
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页数:7
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