DocumentCode :
508361
Title :
Gene Expression Programming without Reduplicate Individuals
Author :
Li, Taiyong ; Tang, Changjie ; He, Ting ; Wu, Jiang ; Qin, Wenbing
Author_Institution :
Sch. of Economic Inf. Eng., Southwestern Univ. of Finance & Econ., Chengdu, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
249
Lastpage :
253
Abstract :
The diversity plays an important role in gene expression programming(GEP). However, the reduplicate individuals in the populations decrease the diversity, which will impact the performance of the evolution. To cope with this problem, this paper proposes a novel GEP WithOut Reduplicate Individuals called GEPWORI. The main contributions of this paper include: (1) presenting the phenomenon of reduplicate individuals in GEP and analyzing its impact on evolution, (2) proposing a novel algorithm (GEPWORI) which avoids reduplicate individuals in the populations, and (3) by extensive experiments showing that the performance of the GEPWORI is better than that of the existing Traditional GEP (TGEP).
Keywords :
genetic algorithms; GEPWORI algorithm; gene expression programming; reduplicate individuals; Biological cells; Decoding; Educational institutions; Finance; Gene expression; Genetic programming; Head; Linear programming; Pharmaceuticals; Tail; diversity; evolutionary computation; gene expression programming; reduplicate individual;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.406
Filename :
5366933
Link To Document :
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