A novel PPGA-based clustering analysis method for business cycle indicator selection
文献类型：期刊论文
| 作者 | Zhang, Dabin1,2; Yu, Lean1; Wang, Shouyang1; Song, Yingwen3 |
| 刊名 | FRONTIERS OF COMPUTER SCIENCE IN CHINA
 |
| 出版日期 | 2009-06-01 |
| 卷号 | 3期号:2页码:217-225 |
| 关键词 | Genetic algorithm pseudo parallel genetic algorithm clustering analysis business cycle |
| ISSN号 | 1673-7350 |
| DOI | 10.1007/s11704-009-0023-5 |
| 英文摘要 | A new clustering analysis method based on the pseudo parallel genetic algorithm (PPGA) is proposed for business cycle indicator selection. In the proposed method, the category of each indicator is coded by real numbers, and some illegal chromosomes are repaired by the identification and restoration of empty class. Two mutation operators, namely the discrete random mutation operator and the optimal direction mutation operator, are designed to balance the local convergence speed and the global convergence performance, which are then combined with migration strategy and insertion strategy. For the purpose of verification and illustration, the proposed method is compared with the K-means clustering algorithm and the standard genetic algorithms via a numerical simulation experiment. The experimental result shows the feasibility and effectiveness of the new PPGA-based clustering analysis algorithm. Meanwhile, the proposed clustering analysis algorithm is also applied to select the business cycle indicators to examine the status of the macro economy. Empirical results demonstrate that the proposed method can effectively and correctly select some leading indicators, coincident indicators, and lagging indicators to reflect the business cycle, which is extremely operational for some macro economy administrative managers and business decision-makers. |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000207971000008 |
| 出版者 | HIGHER EDUCATION PRESS |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/9051]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Yu, Lean |
| 作者单位 | 1.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Huazhong Normal Univ, Dept Informat Management, Wuhan 430079, Peoples R China 3.Informat Technol Res Inst, Ibaraki 3058568, Japan |
| 推荐引用方式 GB/T 7714 | Zhang, Dabin,Yu, Lean,Wang, Shouyang,et al. A novel PPGA-based clustering analysis method for business cycle indicator selection[J]. FRONTIERS OF COMPUTER SCIENCE IN CHINA,2009,3(2):217-225. |
| APA | Zhang, Dabin,Yu, Lean,Wang, Shouyang,&Song, Yingwen.(2009).A novel PPGA-based clustering analysis method for business cycle indicator selection.FRONTIERS OF COMPUTER SCIENCE IN CHINA,3(2),217-225. |
| MLA | Zhang, Dabin,et al."A novel PPGA-based clustering analysis method for business cycle indicator selection".FRONTIERS OF COMPUTER SCIENCE IN CHINA 3.2(2009):217-225. |
入库方式： OAI收割
来源：数学与系统科学研究院
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