为有效规划巡回牧师(CR)策略下的海上补给过程，首先,根据CR策略下的海上补给特点，分析海上补给流程，介绍了汇合点的概念、计算方法以及出入库排队情况，并阐明了平时、战时不同环境下的补给规划目标；然后，分别建立海上补给整数非线性规划模型和多智能体仿真模型，设定典型的海上补给案例，分析数据并带入模型，通过LINGO和Anylogic仿真平台分别对模型进行求解，将两个模型的求解结果进行比较分析.结果表明，整数规划模型与多智能体仿真模型能够有效实现问题求解，对于优化CR策略下的海上补给过程均具有较好的适用性，其中多智能体仿真模型优化效率更高.

To effectively plan the marine replenishment process under the circuit riders (CR) strategy, firstly, according to the characteristics of marine replenishment under CR strategy, this paper analyzed the marine replenishment process, introduced the concept, calculation method of convergence point and the queuing situation for incoming and outgoing warehouse, and expounded the replenishment planning objectives under different environments, including peacetime and wartime. Then, the integral nonlinear programming model and multi-agent simulation model of marine supply were established respectively, the typical cases of marine supply were set up to analyze the data for introducing into the model, and the model was solved by LINGO and Anylogic simulation platform respectively. The results of the two models were compared and analyzed, the results show that both the integer programming model and multi-agent simulation model can effectively solve the problem and have good applicability for the marine replenishment process under the optimized CR strategy, especially the multi-agent simulation model has higher optimization efficiency.