OPTIMIZATION OF TRUSSES WITH SELF-ADAPTIVE APPROACH IN GENETIC ALGORITHMS

被引：8
|
作者：
Grygierek, Krzysztof [1 ]
机构：
[1] Silesian Tech Univ, Fac Civil Engn, Akad 5, PL-44100 Gliwice, Poland
来源：
ARCHITECTURE CIVIL ENGINEERING ENVIRONMENT | 2016年 / 9卷 / 04期
关键词：
Fuzzy logic; Genetic algorithm; Optimization; Self-adaptive; Truss;
D O I：
10.21307/acee-2016-053
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was tested on the examples of optimization of steel trusses. Obtained results proved the effectiveness of genetic algorithm in relation to classical genetic algorithm.
引用
收藏
页码：67 / 78
页数：12
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