Combination of anti-optimization and fuzzy-set-based analyses for structural optimization under uncertainty

被引:14
|
作者
Fang, J [1 ]
Smith, SM
Elishakoff, I
机构
[1] Florida Atlantic Univ, Dept Mech Engn, Boca Raton, FL 33431 USA
[2] Florida Atlantic Univ, Dept Ocean Engn, Boca Raton, FL 33431 USA
关键词
convex modeling; fuzzy set; maximizing set; membership function; optimization;
D O I
10.1155/S1024123X98000787
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An approach to the optimum design of structures, in which uncertainties with a fuzzy nature in the magnitude of the loads are considered, is proposed in this study. The optimization process under fuzzy loads is transformed into a fuzzy optimization problem based on the notion of Werners' maximizing set by defining membership functions of the objective function and constraints. In this paper, Werner's maximizing set is defined using the results obtained by first conducting an optimization through anti-optimization modeling of the uncertain loads. An example of a ten-bar truss is used to illustrate the present optimization process; The results are compared with those yielded by other optimization methods.
引用
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页码:187 / 200
页数:14
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