The improved AFSA algorithm for the berth allocation and quay crane assignment problem

Liu, Yi; Wang, Jian; Shahbazzade, Sabina

doi:10.1007/s10586-018-2216-x

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Constraint (11) defines the composition of the departure time. Constraints (12)(13)(14)(15)(16)(17) give the range of the corresponding parameters used in the study.…”

Section: Model Formulationmentioning

confidence: 99%

“…Zheng, et al [15] discretized the terminal line into 100-metre segments when minimizing the total turnaround time of vessels for the BACAP. Liu, et al [16] utilized 10-metre segments in dealing with BACAP by artificial fish swarm algorithm. Correcher, et al [17] compared the results for discretization of quay length to 10 and 50 meters in continuous BACAP and considered a finer discretization can produce better solutions.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Service Priority on the Integrated Continuous Berth Allocation and Quay Crane Assignment Problem after Port Congestion

Tang

Ji³

et al. 2022

JMSE

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Container seaport congestion is a challenging problem in improving the service level and optimizing evacuating container vessels after congestion. There is a lack of research on container vessel evacuation strategies for continuous terminals. In this article, the weight of the objective function is regarded as the index for the service priority of vessels. The effects of the service priority on the continuous terminal are analyzed by establishing a mixed integer programming model. The model minimizes the total weighted delay departure time of vessels. Two sets of weight values are adopted, including handling volume of each ship and the squared handling volume, then the optimization results are compared with the unweighted scenario. The model is solved using a genetic algorithm. Lianyungang Port is selected as a case study. The results show that the method using the square of handled container volume is more conducive to ensuring the shipping period of large vessels after congestion. Besides, the quay crane number of large vessels affecting the scheduling strategy is discussed. The method proposed in this article provides a new idea for arranging scheduling strategies in other ports under congestion situations, which can better ensure the planned shipping period of large vessels.

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“…Constraint (11) defines the composition of the departure time. Constraints (12)(13)(14)(15)(16)(17) give the range of the corresponding parameters used in the study.…”

Section: Model Formulationmentioning

confidence: 99%