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Vessel transportation scheduling optimization based on channel-berth coordination

机译：基于航道泊位协调的船舶运输调度优化

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Channels and berths are important resources for vessels in port operation. This study aims to improve the efficiency of vessel transportation scheduling by coordinating channels and berths. Therefore, in consideration of scheduling order, travel direction and distance of the berth, a mathematical model with minimum total waiting time as the objective function is established. Furthermore, it applies a simulated annealing and multiple population genetic algorithm (SAMPGA) to solve the proposed model for vessel transportation scheduling in port. This study simulates numerical examples for 10 and 20 vessels. Calculations indicate waiting and total scheduled times of 485 min and 342 min, respectively, for 10 vessels and 1731 min and 456 min, respectively, for 20 vessels. Compared with the simple genetic algorithm (SGA) and the "first come, first served" (FCFS) method, the total waiting time, scheduled time, and maximum waiting time are decreased significantly through SAMPGA. The results show that the proposed model and algorithm can ensure safety and improve the efficiency of vessel transportation scheduling simultaneously. (C) 2015 Elsevier Ltd. All rights reserved.
机译：航道和泊位是港口作业船只的重要资源。本研究旨在通过协调通道和泊位来提高船舶运输调度的效率。因此，考虑到调度顺序，行进方向和泊位距离，建立了以最小总等待时间为目标函数的数学模型。此外，它采用模拟退火和多种群遗传算法（SAMPGA）来解决所提出的港口船只运输调度模型。这项研究模拟了10艘和20艘船的数值示例。计算结果表明，等待和安排的总时间分别为10艘船485分钟和342分钟，20艘船分别为1731分钟和456分钟。与简单遗传算法（SGA）和“先到先得”（FCFS）方法相比，通过SAMPGA可以显着减少总等待时间，计划时间和最大等待时间。结果表明，所提出的模型和算法能够保证安全性，同时提高了船舶运输调度效率。 （C）2015 Elsevier Ltd.保留所有权利。

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