caa a22 4500 605468303 CHVBK 20210128100316.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00500-014-1236-6 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1236-6 A hybrid selection algorithm for time series modeling [Elektronische Daten] [Julie Liu, Juo-Chiang Hsieh] 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. Springer-Verlag Berlin Heidelberg, 2014 Evolutionary algorithm nationallicence Gene expression programming nationallicence Clonal selection principle nationallicence Population diversity nationallicence Time series prediction nationallicence Liu Julie Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan aut Hsieh Juo-Chiang Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan aut Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 121-131 1432-7643 19:1<121 2015 19 500 https://doi.org/10.1007/s00500-014-1236-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1236-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Julie Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan aut NATIONALLICENCE 700 1- Hsieh Juo-Chiang Department of Information Management, Yuan Ze University, 32003, Zhongli, Taoyuan, Taiwan aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 121-131 1432-7643 19:1<121 2015 19 500