铁水联运港口车船直取模式下作业设备调度优化
Scheduling Optimization of Handling Equipments under Travel Straight Mode in Rail-Water Intermodal Container Terminal
DOI: 10.12677/ORF.2023.136747, PDF,   
作者: 张凯霞, 唐璐瑶, 严静雨, 李晨璐瑶:武汉科技大学汽车与交通工程学院,湖北 武汉;李 俊*:武汉科技大学汽车与交通工程学院,湖北 武汉;天津港(集团)有限公司,天津
关键词: 铁水联运车船直取模式设备调度碳排放果蝇优化算法Rail-Water Intermodal Travel Straight Mode Equipment Scheduling Carbon Emissions Fruit Fly Optimization Algorithm
摘要: 随着集装箱多式联运在我国集装箱运输中的飞速发展,客户对集装箱货物运输的时效性要求不断提高。在集装箱铁水联运港口作业中,使用车船直取模式可有效提高集装箱运转效率。将铁水联运港口车船直取模式下的出口集装箱作业流程为对象,构建了以最小化设备总作业时间和碳排放量为目标的数学模型。为实现构建模型的有效求解,引入偏向度差值策略确定最优个体,改进果蝇优化算法寻优能力。算例分析一方面验证了构建模型的有效性,另一方面表明与典型的遗传算法相比,改进后的果蝇优化算法具有更好的寻优性能。
Abstract: With the rapid development of container multimodal transportation in container transportation in China, customers’ requirements for the timeliness of container cargo transportation are constantly improved. In the operation of rail-water intermodal port, the use of travel straight mode can effectively improve the efficiency of container operation. The export container operation process of the rail-water intermodal port is the object, and a mathematical model is constructed to minimize the total operation time and carbon emission of the equipment as the goal. In order to realize the effective solution of the construction model, the bias difference strategy is introduced to determine the optimal individual and improve the optimization ability of the fruit fly optimization algorithm. The example analysis verifies the validity of the construction model, on the one hand. On the other hand, it shows that the improved fruit fly optimization algorithm has better optimization performance compared with the typical genetic algorithm.
文章引用:张凯霞, 李俊, 唐璐瑶, 严静雨, 李晨璐瑶. 铁水联运港口车船直取模式下作业设备调度优化[J]. 运筹与模糊学, 2023, 13(6): 7622-7631. https://doi.org/10.12677/ORF.2023.136747

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