文章基本信息

标题：RESEARCH ON GENETIC ALGORITHM-BASED RAPID DESIGN OPTIMIZATION
本地全文：下载
作者：Yifei ; Tong Yong ; He Zhibing 等
期刊名称：Mechanika
印刷版ISSN：1392-1207
出版年度：2012
卷号：18
期号：5
页码：569-573
DOI：10.5755/j01.mech.18.5.2700
语种：English
出版社：Kauno Technologijos Universitetas
摘要：To obtain the competition advantages, the methodology of rapid design (RD) is applied widely in enterprises. Product oriented knowledge applied into product optimization based on design instances can avoid the repeated modeling and analyzing and result in improved design efficiency. Firstly, RD technology is overviewed. Secondly, general mathematical model of mechanical product rapid optimization is introduced. Thirdly, the process of GA-based rapid optimization combined with BP neural network is derived and the fitness determination of GA Optimization is discussed in detail. Fourthly, on the basis of the uniform trial, the displacement of the H-beam has been calculated. The result shows that the methods are feasible to calculate the fitness of GA with good precise. Finally, an example of H-beam is illustrated to apply GA and BP neural network into design optimization in detail. The research in this paper, however, is beneficial to the application of RD and optimization.
关键词：genetic algorithm; rapid design; optimization