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

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...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2017-03, Vol.28 (3), p.847-855
Main Authors: Liang, ChengJi, Li, MiaoMiao, Lu, Bo, Gu, Tianyi, Jo, Jungbok, Ding, Yi
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Business and Management
Control
Cranes & hoists
Dynamics
Feasibility
Genetic algorithms
Integer programming
Machines
Manufacturing
Materials handling
Mechatronics
Multiple objective analysis
Optimization
Pareto optimum
Planning
Ports
Processes
Production
Quays
Robotics
Scheduling
Studies
Vessels
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Summary: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.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-015-1035-7