中文摘要：

以集装箱港口作业资源配置优化问题为对象,为提高仿真优化过程的运行效率,提出了分布式优化与并行仿真相结合的分布式仿真优化方法。建立了问题的仿真优化模型,并将其重构为分布式仿真优化数学模型;构建了基于高层体系结构HLA的分布式仿真优化系统架构,并分析了分布式仿真优化过程中的时间构成及节点分配问题;最后,运用实例验证了本方法的有效性。结果表明：该方法即可实现与集中式仿真优化方法相同的优化结果,又可明显提高仿真优化过程的整体运行效率。该方法为解决复杂物流系统仿真优化中的时间效率瓶颈问题提供了新途径。

英文摘要：

A distributed simulation-based optimization method is proposed to solve the operating resource allocation problem in container terminals,which usually requires huge computational effort.Firstly,the mathematical model for simulation-based optimization was constructed,then the model was formulated as a distributed simulation-based optimization model.Secondly,the system architecture for simulation based on high level architecture（HLA） was built,and the problem for time composition and node assignment is analyzed.Finally,a practical example is used to illustrate the effectiveness of the proposed method.The numerical results show that this method can both get the same optimal solutions as with the centralized simulation-based optimization method and reduce the running time with high efficiency for optimal resource allocation in container terminals.This method provides a new approach for the time efficiency bottleneck in simulation-based optimization of complex logistics system.