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

Content Provider	Springer Nature Link
Author	Liang, ChengJi Li, MiaoMiao Lu, Bo Gu, Tianyi Jo, Jungbok Ding, Yi
Copyright Year	2015
Abstract	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.
Starting Page	847
Ending Page	855
Page Count	9
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	28
Issue Number	3
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2015-01-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Port facilities Multi-objective genetic algorithm Quay crane scheduling Pareto optimal solution Production Manufacturing, Machines, Tools Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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