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为了提高集装箱码头装卸效率,建立同贝同步装卸调度模型,实现装卸桥在同一贝位内同时进行装船与卸船作业,模型通过优化装卸桥作业序列与出口集装箱积载计划降低装卸桥与龙门吊作业时间。设计了基于双层遗传算法的模型求解方法,利用上层遗传算法搜索装卸桥最优作业序列,下层遗传算法在装卸桥作业序列基础上获得出口集装箱最优积载计划,然后计算龙门吊与装卸桥作业时间,且将结果反馈到上层遗传算法,通过上下层遗传算法的反馈优化调度方案。通过算例对模型与算法进行验证。分析结果表明:同贝同步装卸调度模型可以提高装卸效率9.42%～11.53%,模型与算法有效。
In order to improve the loading and unloading efficiency of container terminals, a synchronous loading and unloading scheduling model is established to realize the loading and unloading operations of the loading and unloading bridges at the same berth simultaneously. The model reduces loading and unloading bridges and gantry cranes by optimizing the sequence of loading and unloading operations and export container stowage plan. Working time. The model solving method based on double-layer genetic algorithm is designed. The upper-layer genetic algorithm is used to search the optimum working sequence of the loading and unloading bridge. The lower-layer genetic algorithm is to obtain the optimal stowage plan of export container based on the working sequence of the loading and unloading bridge. Then, Time, and feedback the results to the upper genetic algorithm, through the upper and lower genetic algorithm feedback optimization scheduling program. An example is given to verify the model and algorithm. The analysis results show that the synchronous loading and unloading scheduling model can improve loading and unloading efficiency from 9.42% to 11.53%, and the model and algorithm are effective.