Optimal Design of Engineering Structures

被引:0
|
作者
Muc, Aleksander [1 ]
机构
[1] Cracow Univ Technol, Inst Machine Design, Krakow, Poland
来源
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2017年
关键词
optimal design; evolutionary algorithms; buckling; cylindrical composite panels; pressure vessels; helical springs; CHAOTIC NEURAL-NETWORK; GENETIC ALGORITHMS; OPTIMIZATION PROBLEMS; TABU SEARCH; INTEGER; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The basic information required to utilize one of possible computation tools/algorithms (mainly the evolution strategy) to solve a wide class of real practical engineering optimization problems is presented and discussed in the present paper. The effectiveness of the considered method is demonstrated by the possibility of the use of different form of objective functions, various and numerous nonlinear constraints and different types of design variables (continuous, discrete, real, integer). The sensitivity of the algorithm to the choice of the evolution strategy parameters is also discussed herein. The generality of the evolution strategy is illustrated by the analysis of three examples dealing with: the design of helical springs, the buckling of cylindrical composite panels and the buckling of pressure vessels with domed heads.
引用
收藏
页码:578 / 585
页数:8
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