Optimal design of pressure vessel using an improved genetic algorithm

作     者：Peng-fei LIU Ping XU Shu-xin HAN Jin-yang ZHENG 

作者机构：Institute of Chemical Machinery and Process Equipment Zhejiang University Hangzhou 310027 China Institute of Applied Mechanics Zhejiang University Hangzhou 310027 China Hangzhou Special Equipment Inspection Institute Hangzhou 310003 China 

基　　金：Project (Nos. 2006BAK04A02-02 and 2006BAK02B02-08) sup-ported by the National Key Technology R&D Program  China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2008年第9卷第9期

页      码：1264-1269页

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 con- straint. 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.

主 题 词：Pressure vessel Optimal design Genetic algorithm (GA) Simulated annealing (SA) Finite element analysis (FEA) 

学科分类：0810[工学-土木类] 08[工学] 080203[080203] 0805[工学-能源动力学] 0802[工学-机械学] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1631/jzus.A0820217

馆 藏 号：203103497...