Optimization Research of Berth Allocation and Quay Crane Assignment at Container Terminal Based on the Genetic Algorithm

Zhi Jun Gao; Jin Xin Cao; Qing Yu Zhao

doi:10.4028/www.scientific.net/AMM.505-506.931

Paper Titles

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Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City
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Integration and Optimization of Quay Cranes and Trucks at Container Terminal
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Tandem Lift Quay Cranes and Yard Trucks Scheduling Problem at Container Terminals
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Optimization Research of Berth Allocation and Quay Crane Assignment at Container Terminal Based on the Genetic Algorithm
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Study on the Factors Influencing the Logistics Industry Agglomeration
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An Integration Optimization for Berth Allocation and Quay Crane Scheduling Method Based on the Genetic and Ant Colony Algorithm
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The Dynamic Effect of Tax Revenue on Traffic Industry Growth in China
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Seasonality Analysis of Imported Iron Ore Throughput in China's Coastal Ports
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Optimization Research of Berth Allocation and Quay Crane Assignment at Container Terminal Based on the Genetic Algorithm

Abstract:

In the operation of container terminal, berth allocation and quay crane assignment problems (BACAP) always prevent the container terminal from reducing time of ships in port and improving utilization of equipment. In this paper, the objective is to minimize total time of ships in port. Some reasonable and necessary hypotheses are proposed. The mathematical optimization model of BACAP based on the hypotheses is established. The genetic algorithm is used to solve the nonlinear programming model.