基于NSGA-Ⅱ算法的福建省海港-陆港网络构建研究

    Construction of Fujian seaport-landport network by means of NSGA-Ⅱ algorithm

    • 摘要: 针对海港-陆港缺乏合理的网络布局问题,在港口资源整合背景下,以物流成本、碳排放成本和陆港建设成本最小为目标构建出海港-陆港物流网络多目标规划模型,引入陆港建设补贴系数和规模运输价格折扣系数,以福建省海港群为例,利用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)进行求解,最后得到16种陆港建设方案和对应经济腹地的货流分配方案,可以为不同角度的决策者提供参考。研究结果表明:当建设陆港的数量越多、规模越大时,将产生较低的物流成本和碳排放成本。与未构建海港-陆港网络时相比,基于NSGA-Ⅱ算法的福建省海港-陆港网络中的碳排放成本可减少14.14%,物流成本可减少5.54%。

       

      Abstract: The NSGA-Ⅱ algorithm is introduced to optimize the overall arrangement of landports and seaports in Fujian Province. The objective of the optimization is set as minimizing logistic costs, carbon emissions and landport construction costs. The problem is solved by means of NSGA-Ⅱ algorithm. 16 landport construction plans with corresponding logistic arrangement of the economy hinterland are generated. The research indicates that the more landport is constructed and the larger the scale of the ports are, the lower logistic cost can be achieved, as well as the lower carbon emission. Development of the network will allow 14.14% reduction of carbon emission cost and 5.54% reduction of logistic costs.

       

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