A hybrid selection algorithm for time series modeling
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605468303 | ||
| 003 | CHVBK | ||
| 005 | 20210128100316.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1236-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1236-6 | ||
| 245 | 0 | 2 | |a A hybrid selection algorithm for time series modeling |h [Elektronische Daten] |c [Julie Liu, Juo-Chiang Hsieh] |
| 520 | 3 | |a An evolutionary algorithm becomes trapped in local optima when a premature convergence occurs. Research has suggested maintaining population diversity to address this problem. However, traditional methods are excessively complex and time consuming. This study proposes a hybrid selection mechanism in which clonal and roulette wheel selections are alternated to maintain population diversity during evolution. The proposed method is based on a genetic programming technique known as gene expression programming (GEP). The prediction power and efficiency of the proposed method were compared with those of other GEP-based algorithms by using five time series benchmarks. The experimental results indicated that the proposed algorithm outperforms the other algorithms. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Evolutionary algorithm |2 nationallicence | |
| 690 | 7 | |a Gene expression programming |2 nationallicence | |
| 690 | 7 | |a Clonal selection principle |2 nationallicence | |
| 690 | 7 | |a Population diversity |2 nationallicence | |
| 690 | 7 | |a Time series prediction |2 nationallicence | |
| 700 | 1 | |a Liu |D Julie |u Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan |4 aut | |
| 700 | 1 | |a Hsieh |D Juo-Chiang |u Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 121-131 |x 1432-7643 |q 19:1<121 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1236-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1236-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Liu |D Julie |u Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hsieh |D Juo-Chiang |u Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 121-131 |x 1432-7643 |q 19:1<121 |1 2015 |2 19 |o 500 | ||