DocumentCode
2650774
Title
Research on multi-objective robust design
Author
Xu, Huanwei ; Huang, Hong-Zhong ; Wang, Zhonglai ; Zheng, Bin ; Meng, Debiao
Author_Institution
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2011
fDate
17-19 June 2011
Firstpage
885
Lastpage
890
Abstract
Robust design optimization holds the multiple aspects of the objective. In this paper the basic robust design model was established based on maximum variation estimation method; the multi-objective attribute of robust design was analyzed; the Pareto robust set was defined; the values of performance functions were adjusted with the combination of linear physical programming. Finally multi-objective robust design model which doesn´t require presumed probability distribution of uncertain factors or continuous and differentiable of objective and constraints functions was constructed. An engineering example was provided and the results show that the proposed approach can ensure success of optimization and obtain the solution which reflects decision-maker´s preference.
Keywords
Pareto optimisation; design engineering; estimation theory; linear programming; Pareto robust set; constraints function; linear physical programming; maximum variation estimation method; multiobjective robust design optimization; objective function; probability distribution; uncertain factor; Design methodology; Fluctuations; Indexes; Materials; Optimization; Programming; Robustness; linear physical programming; maximum variation analysis; multi-objective optimization; robust design;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-1229-6
Type
conf
DOI
10.1109/ICQR2MSE.2011.5976748
Filename
5976748
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