多阶段系统多目标优化的模糊优选动态规划方法及应用

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi objective Optimization of Multi stage Systems

在模糊权距离和隶属度概念的基础上 ,根据多阶段系统前后阶段联系特点 ,将模糊优选理论与动态规划原理有机地结合起来 ,提出能够有效地寻求多阶段多目标优化问题的最优均衡策略的模糊优选动态规划技术 ,为求解多目标多阶段系统的优化决策问题提供了新路。

Based on the concepts of the fuzzy weighted distance and membership degree,the fuzzy optimum selection dynamic programming technique that can be used for the optimization of multi objective and multi stage systems are developed by means of the combination of fuzzy optimum selection theory with dynamic programming technique.This is a new methodology for solving the multi objective optimization problems of multi stage systems.Finally,an application to the optimization of a multiple reactor system is given as an example. [