DocumentCode :
3627206
Title :
AdaGEP - An Adaptive Gene Expression Programming Algorithm
Author :
Elena Bautu;Andrei Bautu;Henri Luchian
Author_Institution :
Ovidius Univ., Constanta
fYear :
2007
Firstpage :
403
Lastpage :
406
Abstract :
Many papers focused on fine-tunning the gene expression programming (GEP) operators or their application rates in order to improve the performances of the algorithm. Much less work was done on optimizing the structural parameters of the chromosomes (i.e. number of genes and gene size). This is probably due to the fact that the no free lunch theorem states that no fixed values for these parameters will ever suit all problems. To counteract this fact, this paper presents a modified GEP algorithm, called AdaGEP, which automatically adapts the number of genes used by the chromosome. The adaptation process takes place at chromosome level, allowing chromosomes in the population to evolve with different number of genes.
Keywords :
"Gene expression","Biological cells","Decoding","Tail","Genetic mutations","Joining processes","Scientific computing","Structural engineering","Linear programming","Genetic programming"
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
Print_ISBN :
978-0-7695-3078-8
Type :
conf
DOI :
10.1109/SYNASC.2007.51
Filename :
4438129
Link To Document :
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