Paper Title:
Fuzzy-Robust Design Optimization of Dimension Tolerance Using the Improved Genetic Algorithm
  Abstract

The standard genetic algorithm is improved by introducing the engineering treatment method of design vector in order to solve the optimization problem with mixed-discrete variables. A program of improved genetic algorithm has been designed. It can be used to solve the optimal design problems with continuous variables, discrete variables or mixed-discrete variables. For a dimension chain, the fuzzy-robust design of dimension tolerance is discussed and a model of fuzzy-robust design optimization is established. The solution of established model is achieved by using the improved genetic algorithm and the robustness of the dimension tolerance has been improved. The example shows that the proposed method is effective in engineering design.

  Info
Periodical
Edited by
Qi Luo
Pages
1502-1505
DOI
10.4028/www.scientific.net/AMM.55-57.1502
Citation
B. Zhong, "Fuzzy-Robust Design Optimization of Dimension Tolerance Using the Improved Genetic Algorithm", Applied Mechanics and Materials, Vols. 55-57, pp. 1502-1505, 2011
Online since
May 2011
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