本文研究了大系统多目标动态优化问题,提出了一种新的交互式满意折衷分解协调方法。利用分解原理完成了对决策空间的分解,通过定义代值目标完成了对目标空间的分解,运用满意度的思想实现了人机交互过程。该方法所需的计算机内存容量小,收敛快,简单实用,并在河流污染控制的仿真研究中得到了证实。 This paper studies the problem of multi-objective dynamic optimization of large-scale systems and proposes a new method of coordination and compromise of interactive satisfactory compromise. The decomposing principle is used to decompose the decision space, and the target space is decomposed by defining the target of substituting value. The idea of ​​satisfaction is used to realize the process of human-computer interaction. The method requires small computer memory, fast convergence, simple and practical, and is verified in the simulation study of river pollution control.