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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.

First Page

1178

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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