Title
Evolutionary algorithm based on overlapped gene expression
Abstract
Inspired by the overlap gene expression in biological study, this paper proposes a novel evolutionary algorithm-EAOGE i.e. Evolutionary Algorithm based on Overlapped Gene Expression. Different from existing works, EAOGE suggests a new expression structure of genes with probabilities of overlapped expression for some segments. The main contributions are: (1) Proposing a novel model and an algorithm of gene expression while borrowing some ideas from artificial immunity algorithm; (2) Analyzing the expressing space and encode characteristic of the new model; (3) The extensive experiments in function finding shows that new model is 2.8~9.7 times faster than usual GEP method, and in higher-degree polynomial function finding, the success rate of EAOGE is over 10 times than usual GEP.
Year
DOI
Venue
2005
10.1007/11539902_23
ICNC (3)
Keywords
Field
DocType
overlapped expression,artificial immunity algorithm,higher-degree polynomial function finding,usual gep method,usual gep,novel model,new model,evolutionary algorithm,overlapped gene expression,gene expression,new expression structure
ENCODE,Gene,Polynomial,Evolutionary algorithm,Computer science,Gene expression,Algorithm,Binary expression tree,Genetic program,Genetic algorithm
Conference
Volume
ISSN
ISBN
3612
0302-9743
3-540-28320-X
Citations 
PageRank 
References 
2
0.51
6
Authors
4
Name
Order
Citations
PageRank
Jing Peng1163.00
Changjie Tang248362.75
Jing Zhang351.57
Chang-an Yuan4859.88