Fast Modeling Methods for Complex System with Separable Features | |
Chen C(陈辰); Luo ZT(罗长童); Jiang ZL(姜宗林) | |
会议录名称 | 2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1 |
2017 | |
会议名称 | 10th International Symposium on Computational Intelligence and Design (ISCID) |
会议日期 | DEC 09-10, 2017 |
会议地点 | Hangzhou, PEOPLES R CHINA |
摘要 | Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large number of variables. Fortunately, in many applications, the target models are separable in some sense. In this paper, we analyze different types of separability and establish a generalized separable model (GSM). In order to get the structure of the GSM, a multi-level block search method is proposed, in which the target model is decomposed into a number of blocks, further into minimal blocks and factors. Compare to the conventional GP, the new method can make large reductions to the search space. The minimal blocks and factors are optimized and assembled with a global optimization search engine, low dimensional simplex evolution (LDSE). An extensive study between the proposed method and a state-of-the-art data-driven fitting tool, Eureqa, has been presented with several man-made problems. Test results indicate that the proposed method is more effective and efficient under all the investigated cases. |
关键词 | Data-driven Modeling Genetic Programming Generalized Separable Model Multi-level Block Search |
WOS记录号 | WOS:000427991100045 |
资助信息 | This work was supported by the National Natural Science Foundation of China (Grant No. 11532014). |
ISBN号 | 978-1-5386-3675-6 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/75552 |
专题 | 高温气体动力学国家重点实验室 |
推荐引用方式 GB/T 7714 | Chen C,Luo ZT,Jiang ZL. Fast Modeling Methods for Complex System with Separable Features[C]2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1,2017. |
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