Grey Fuzzy Robust Optimization Design of High-Dimension Multi-Objective and Its Application

Author

Liao, Degang ; He, Zheming ; Luo, Youxin

Author_Institution

Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

A general method for Grey Fuzzy Robust Optimization Design of High-dimension Multi-objective was presented based on sensitivity of designed variables and based on sensibility analysis to produce fuzzy objective functions, two models for Grey Fuzzy Robust Optimization Design of High-dimension Multi-objective were established. The fuzzy multi-objective optimization design was transformed into the general multiobjective optimization by Â¿-cut level method and the solutions were found directly with absolute degree of grey correlation. The optimal program was compiled with Genetic Optimization Toolbox of MATLAB7.5. A design example shows that the model constructed in this paper is feasible and practical.

Keywords

fuzzy set theory; grey systems; optimal systems; optimisation; robust control; sensitivity analysis; MATLAB7.5; fuzzy multiobjective optimization design; fuzzy objective function; genetic optimization toolbox; grey correlation; grey fuzzy robust optimization design; high-dimension multi-objective; optimal program; sensibility analysis; sensitivity; Costs; Design optimization; Educational institutions; Manufacturing; Mathematical model; Mechanical engineering; Optimization methods; Random variables; Robustness; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5365396

Filename

5365396