Multi-Objective Robust Optimization Based on NSGA-II and Degree of Robustness

被引:2
作者
Qiang, Jie [1 ]
Qi, Rongbin [1 ]
Qian, Feng [1 ]
机构
[1] E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
来源
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词
Multi-Objective optimization; NSGA-II; Degree of robustness; Robust optimal solutions;
D O I
10.1109/WCICA.2010.5554829
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 presents an approach to search robust optimal solutions with the concept of degree of robustness in multi-objective optimization problems. The definition of the degree of robustness is used in the calculation of the mean effective objective function(f(eff)(X)) and in the evolutionary process, degree of robustness is considered as a factor to select robust solutions which can meet the demand for better robustness. Some simulation results are shown to prove that this approach can control the distribution of objective value and help system improve robustness by finding solutions with better robustness. Also, the decision maker(DM) can modulate some robust parameters according to the actual robust demands which makes this approach have more practical significance.
引用
收藏
页码:4859 / 4864
页数:6
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