• 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