DocumentCode
2855727
Title
Research on Two Stage Evolutionary Modeling Based on Gene Expression Programming
Author
Huang, Li ; Ding, Lixin
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Gene expression programming is presented here for two stage evolutionary modeling. It uses character linear chromosomes composed of genes which encode expression trees. This feature which is different from existing algorithms allows the algorithm to perform with high efficiency when dealing with the same problem. And then, the analysis of convergence of this algorithm is mentioned. Finally, a numeric experiment is given to verify the efficiency of this algorithm. The results show that multiple highly precise ordinary differential equations (ODEs) model can be found out, and its predict values surprisingly coincide with the exact solutions.
Keywords
convergence; differential equations; genetic algorithms; linear programming; trees (mathematics); convergence analysis; expression tree encoding; gene expression programming; linear chromosomes; ordinary differential equations model; two stage evolutionary modeling; Algorithm design and analysis; Differential equations; Evolutionary computation; Gene expression; Genetic programming; Laboratories; Mathematical model; Mathematical programming; Mathematics; Random number generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365685
Filename
5365685
Link To Document