Multi-criteria control system parameters optimization based on genetic algorithm

被引：0
|
作者：
Yang, ZM [1 ]
Wang, X [1 ]
Zhuang, XY [1 ]
机构：
[1] Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
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：
This paper represents a multi-parameter optimization method based on the solution of the multi-criteria optimization problem using a multi-objective constrained genetic algorithm. By incorporating the fuzzy rules in fitness assignment procedure, the GA can simultaneously handle multiple design objectives and constraints with relative importance. Simulation results show that this algorithm can obtain acceptable solutions satisfying all constraints.
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页码：651 / 655
页数：5
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