Fuzzy multiobjective optimization of truss-structures using genetic algorithm

被引：40
|
作者：
Kelesoglu, Omer [1 ]
机构：
[1] Firat Univ, Dept Construct Sci, TR-23119 Elazig, Turkey
来源：
ADVANCES IN ENGINEERING SOFTWARE | 2007年 / 38卷 / 10期
关键词：
multiobjective; fuzzy sets; genetic algorithm; membership function; truss system;
D O I：
10.1016/j.advengsoft.2007.03.003
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a method for solving fuzzy multiobjective optimization of space truss with a genetic algorithm is proposed. This method enables a flexible method for optimal system design by applying fuzzy objectives and fuzzy constraints. The displacement, tensile stress, fuzzy sets, membership functions and minimum size constraints are considered in formulation of the design problem. An algorithm was developed by using MATLAB programming. The algorithm is illustrated on 56-bar space truss system design problem and the results are discussed. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：717 / 721
页数：5
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