摘要
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。
An interactive satisfying trade-off decomposition and coordination approach to the multiobjective dynamic optimization of large scale systems(IST-ODCA) is presented. Decision space is decomposed by the principle of decomposition, so that the system dimension is reduced significantly.Objective space is decomposed by the surrogate worth objective defined, so that both whole benefits and local benefits are considered.Man-machine interaction is realized by the idea of satisfaction. ISTODCA requirs less internal computer memories, but with fast convergence speed. The simulation results of the multiobjective control in a river pollution shows that ISTODCA is practical and efficient.
出处
《控制与决策》
EI
CSCD
北大核心
1990年第3期39-44,共6页
Control and Decision
