Journal of System Simulation
Abstract
Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, which accomplish the swapping or moving operation of containers in bay of container vessel and improve the individual quality of population. The performance of simulation optimization model based on genetic algorithm is demonstrated through simulation experiments and the comparison with branch & bound algorithm from ILOG CPLEX.
Recommended Citation
Yu, Zhang; Cheng, Huimin; Jin, Xu; Wei, Tian; and Sun, Junfeng
(2019)
"Simulation Optimization on Multi-Ports Slot Plan Problem Considering Dispatching Sequence of Containers in Yard,"
Journal of System Simulation: Vol. 30:
Iss.
3, Article 8.
DOI: 10.16182/j.issn1004731x.joss.201803008
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/8
First Page
831
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201803008
Last Page
839
CLC
U169.63
Recommended Citation
Zhang Yu, Cheng Huimin, Xu Jin, Tian Wei, Sun Junfeng. Simulation Optimization on Multi-Ports Slot Plan Problem Considering Dispatching Sequence of Containers in Yard[J]. Journal of System Simulation, 2018, 30(3): 831-839.
DOI
10.16182/j.issn1004731x.joss.201803008
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