内河集装箱港锚地—泊位资源配置多目标决策

Multi-objective Allocation of Anchorage-berth Resources at Inland River Container Port

鉴于锚地—泊位资源配置直接影响内河集装箱港的运作效率,且受到内河航道及岸线等设施资源制约,本文在考虑船舶通行安全的基础上,运用随机服务理论,以港口总成本和船舶在港等待时间最小为目标,建立内河集装箱港锚地—泊位配置的多目标规划模型,设计了一种针对非线性整数规划问题的实代码遗传算法,并以重庆某集装箱港作为算例,验证该模型的合理性和算法的有效性,同时分析了不同船舶到港强度和泊位服务强度下的锚地—泊位最佳配置关系,为建立和拓展内河集装箱港资源优化和配置提供理论基础.

The anchorage-berth allocation directly affect the operational efficiency of the inland river container port and are constrained by the inland waterway and shoreline facilities resources. This paper considers the safety of the ship navigation safety and adopts random service theory. A multi-objective nonlinear programming model of the inland river container port anchorage-berth allocation is setup. An integer and real code genetic algorithm is introduced for nonlinear integer programming problem. The effectiveness of the model and algorithm are checked by numerical example of one container port in Chongqing. The optimal allocation between the anchorage-berth under different vessel arrival intensity and berth service intensity is also investigated. It provides theoretical basis to establish and expand the inland river container port resources optimization and configuration theory.