Dynamic configuration of QC allocating problem based on multi-objective genetic algorithm

被引：0
|
作者：
ChengJi Liang
MiaoMiao Li
Bo Lu
Tianyi Gu
Jungbok Jo
Yi Ding
机构：
[1] Shanghai Maritime University,Logistics Research Center
[2] Dalian University,Institute of E
[3] UCAS,commerce and Modern Logistics
[4] Shanghai International Port Group Co.,School of Management
[5] Ltd,Division of Computer and Information Engineering
[6] Dongseo University,undefined
来源：
Journal of Intelligent Manufacturing | 2017年 / 28卷
关键词：
Port facilities; Multi-objective genetic algorithm; Quay crane scheduling; Pareto optimal solution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Solving the problem of allocating and scheduling quay cranes (QCs) is very important to ensure favorable port service. This work proposes a bi-criteria mixed integer programming model of the continual and dynamic arrival of several vessels at a port. A multi-objective genetic algorithm is applied to solve the problem in three cases. The results thus obtained confirm the feasibility and effectiveness of the model and GA. Additionally, the multi-objective solution considering both the total duration for which vessels stay in the port and QCs move is the best, as determined by comparing with considering only the total time for which vessels stay in the port or QCs move, as it considers, and it balances these two objectives.
引用
收藏
页码：847 / 855
页数：8
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