文献详情
A statistical multivariable optimization method using improved orthogonal algorithm based on large data
文献类型期刊
作者Zhang, Yidu[1];Chen, Long[2];Wu, Qiong[3];Chen, Zhengsheng[4];Peng, Youyun[5]
机构
通讯作者Wu, Q (reprint author), Beihang Univ, State Key Lab Virtual Real Technol, Beijing, Peoples R China.; Wu, Q (reprint author), Beihang Univ, Sch Mech Engn & Automat, Beijing, Peoples R China.
来源信息年:2017  卷:87  期:14  页码范围:2657-2667  
期刊信息JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区  ISSN:0094-9655
关键词Statistical calculation; multivariable optimization; large data; improved orthogonal algorithm; simulation
增刊正刊
摘要Multivariable optimization under large data environment concerns with how to reliably obtain a set of optimization results from a mass of data that influence the object function complexly. This is an important issue in statistical calculation because the complexity between variable parameters leads to repeated statistical calculation analysis and a significant amount of data waste. A statistical multivariable optimization method using improved orthogonal algorithm based on large data is proposed. Considering the optimization problem with multi-parameters under large data environment, a multi-parameter optimization model used for improved orthogonal algorithm is established based on large data. Furthermore, an extensive simulation study on temperature field distribution of anti-/de-icing component was conducted to verify the validity of the statistical calculation analysis optimization method. The optimized temperature field distribution meets the anti-/de-icing requirements through numerical simulation. Simulation results show that the optimization effect is more evident and accurate than the non-optimized temperature distribution with the optimized results of the proposed method. Results verify the effectiveness of the proposed method.
收录情况SCIE(WOS:000406381400001)  
所属部门计算机学院;机械工程及自动化学院
DOI10.1080/00949655.2017.1339241
学科计算机:跨学科应用;统计学与概率论
百度学术A statistical multivariable optimization method using improved orthogonal algorithm based on large data
语言外文
人气指数73
浏览次数73
基金National Science and Technology Major Project [2014ZX04001011]; Beijing Municipal Natural Science Foundation [3172021]; Defense Industrial Technology Development Program [A0520110009]; State Key Laboratory of Virtual Reality Technology Independent Subject [BUAA-VR-16ZZ-07]
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