Journal of System Simulation
Abstract
Abstract: This paper researches on a continuous berth and quay crane allocation problem for low carbon container terminal. Considering the constraints of stochastic arrival time and limited truck transportation ability, a multi-objective nonlinear mixed integer programming model is established to minimize carbon emissions and average delay time. An efficient non-dominate sorting genetic algorithm II (ENSGA-II) is designed to deal with this problem. According to the characteristics of the problem, encoding rule and decoding rule based on rolling-horizon simulation, PPX crossover operator with elite selection, multi constraints mutation operator and repair operator are adopted. The results of several simulation experiments show that ENSGA-II can get the satisfied solution more quickly than NSGAII and MNSGA-II. Moreover, it’s suitable for solving integrated berth and quay crane allocation problem.
Recommended Citation
Xu, Wang; Liu, Shixin; Zhang, Ruiyou; and Jia, Wang
(2019)
"Integrated Berth and Quay Crane Allocation Multi-objective Algorithm for Container Terminal,"
Journal of System Simulation: Vol. 30:
Iss.
3, Article 51.
DOI: 10.16182/j.issn1004731x.joss.201803051
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/51
First Page
1178
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201803051
Last Page
1189
CLC
TP391
Recommended Citation
Wang Xu, Liu Shixin, Zhang Ruiyou, Wang Jia. Integrated Berth and Quay Crane Allocation Multi-objective Algorithm for Container Terminal[J]. Journal of System Simulation, 2018, 30(3): 1178-1189.
DOI
10.16182/j.issn1004731x.joss.201803051
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