Optimal design of pressure vessel using an improved genetic algorithm

被引:0
作者
Peng-fei Liu
Ping Xu
Shu-xin Han
Jin-yang Zheng
机构
[1] Zhejiang University,Institute of Chemical Machinery and Process Equipment
[2] Zhejiang University,Institute of Applied Mechanics
[3] Hangzhou Special Equipment Inspection Institute,undefined
来源
Journal of Zhejiang University-SCIENCE A | 2008年 / 9卷
关键词
Pressure vessel; Optimal design; Genetic algorithm (GA); Simulated annealing (SA); Finite element analysis (FEA); TH12;
D O I
暂无
中图分类号
学科分类号
摘要
As the idea of simulated annealing (SA) is introduced into the fitness function, an improved genetic algorithm (GA) is proposed to perform the optimal design of a pressure vessel which aims to attain the minimum weight under burst pressure constraint. The actual burst pressure is calculated using the arc-length and restart analysis in finite element analysis (FEA). A penalty function in the fitness function is proposed to deal with the constrained problem. The effects of the population size and the number of generations in the GA on the weight and burst pressure of the vessel are explored. The optimization results using the proposed GA are also compared with those using the simple GA and the conventional Monte Carlo method.
引用
收藏
页码:1264 / 1269
页数:5
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