Abstract | ||
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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 Peng | 1 | 16 | 3.00 |
Changjie Tang | 2 | 483 | 62.75 |
Jing Zhang | 3 | 5 | 1.57 |
Chang-an Yuan | 4 | 85 | 9.88 |