低碳经济下港口泊位—岸桥分配问题

The Problem of Sea Port Berths-quay Crane Distribution under Low Carbon Economy

针对低碳经济下港口泊位—岸桥分配问题的研究,文章建立基于低碳经济下的泊位—岸桥分配模型。模型由两部分组成:低碳经济下的泊位分配以及港口的岸桥分配。将船舶到港时间引入传统泊位分配中,同时考虑船舶油耗和碳排放量,建立了船舶油耗量最小和船舶离港延迟时间最短的双目标函数。并通过确定每艘船舶的泊位和停靠时间,设立港口岸桥分配函数,使港口分配岸桥总数量最小,避免不必要的资源浪费,提高港口的工作效率。采用多目标遗传算法进行求解,通过试验算例证明所建立的模型的优化性。

To solve the problem of sea port berths-quay crane distribution under low carbon economy, this article establishes a model of sea port berths-quay crane distribution. The modelis composed by two parts, they are berths distribution and sea port quay crane distribution respectively. By importing ship arriving port time into traditional berths distribution, in the meantime taking ship oil consumption and carbon emission in- to account, this article establishes a double-objective function which includes minimum oil consumption and minimum ship depart delay. By confirming berth time of every ship, this ar- ticle structures sea port-quay crane distribution function as well, in order to minimize the total number of berths alloca- tion quay crane, avoid unnecessary waste, and improve work efficiency of sea port. To solve this model, this article uses multi-objection genetic algorithm, thus proves the optimization of this model.