集装箱运输船舶调度的多目标优化模型建模

Modeling of multi objective optimization model for container ship scheduling

在多通道运输环境下,集装箱运输船舶调度是一个复杂的多元目标优化模型,提出一种基于自适应回归分析的集装箱运输船舶调度的多目标优化模型,采用多源信息特征重组方法进行集装箱运输船舶资源信息重构,结合自适应学习方法进行集装箱运输船舶资源的信息融合处理,采用非线性二元自回归分析方法实现集装箱运输船舶调度的控制目标函数构建,采用多目标均衡优化策略求解控制目标函数的全局最优解,实现集装箱运输船舶的最优化调度。仿真结果表明,采用该方法进行集装箱运输船舶调度的均衡性较好,提高了运输时效性。

In the multi channel transport environment, container transport ship scheduling is a complex and multi objective optimization model, this paper presents a multi-objective optimization model of container transport ship scheduling adaptive regression analysis based on the multi-source information reorganization method of container transport ship resource information reconstruction, information processing learning method with adaptive container transport ship resource integration, constructed by the objective function of two yuan from the regression analysis method of container ship scheduling is nonlinear, the multi-objective optimization strategy for balanced global optimal control solution of objective function,to realize the optimization of scheduling of container ships. The simulation results show that the equilibrium using the method of container transport ship scheduling well, improve the transportation efficiency.