Multiple-objective optimization decision-making method for large scale systems

被引：0
|
作者：
Qian, FC [1 ]
Li, Q [1 ]
Liu, D [1 ]
机构：
[1] Xian Univ Technol, Xian 710048, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
large scale system; global optimization; multi-objective optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the global optimization problem for separable non-convex large-scale is considered. A three-level hierarchical optimization algorithm is proposed. It converts the original problem into a separable multi-objective optimization problem. The non-inferior frontier is then convexified and the global optimal solution of the original problem is selected from the set of non-inferior solutions of multi-objective optimization problem. Theoretical base of the algorithm is established. Simulation shows that the algorithm is effective.
引用
收藏
页码：936 / 939
页数：4
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