Name
Abstract | ||
|---|---|---|
In this paper, we propose a new method for the inference of S-system models of large-scale genetic networks. This method employs a technique to decompose the genetic network inference problem into several subproblems, then applies a genetic local search to each of the subproblems. A local search method utilizing the feature of the S-system model is used as one of the search operators in this genetic local search. Finally, the effectiveness of the proposed method is verified through a genetic network inference problem. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/CEC.2003.1299635 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
genetic algorithms,inference mechanisms,model-based reasoning,physiological models,search problems,S-system models,genetic local search,genetic network inference problem,genetic networks,search operators | Genetic operator,Data mining,Inference,Computer science,Model-based reasoning,Genetic representation,Artificial intelligence,Adaptive neuro fuzzy inference system,Local search (optimization),Quality control and genetic algorithms,Genetic algorithm,Machine learning | Conference |
Volume | Citations | PageRank |
1 | 4 | 0.76 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuhei Kimura | 1 | 204 | 15.99 |
| Mariko Hatakeyama | 2 | 175 | 12.17 |
| Akihiko Konagaya | 3 | 578 | 94.32 |