Name
Abstract | ||
|---|---|---|
Based on the Antibody Clonal Selection Theory of immunology, the general steps of ICSA (Immune Clonal Selection Algorithm) are presented in this paper The network framework of ICSA is put forward, and the dynamic characters of ICSA are analyzed based on the Lyapunov theory Then, this paper gives a novel Artificial Immune System Algorithm, Pseudo- Grads Hybrid Immune Clonal Selection Network (GHICSN) The simulation results of some functions optimization indicate that GHICSN improves the performance of ICSA to some extent. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30549-1_72 | Australian Conference on Artificial Intelligence |
Keywords | Field | DocType |
immune clonal selection network,network framework,novel artificial immune system,dynamic character,lyapunov theory,antibody clonal selection,simulation result,grads hybrid immune clonal,general step,selection network,immune clonal selection,artificial immune system | Lyapunov function,Artificial immune system,Computer science,Immune clonal selection algorithm,Artificial intelligence,Immune system,Clonal selection algorithm,Clonal selection,Hybrid system | Conference |
Volume | ISSN | ISBN |
3339 | 0302-9743 | 3-540-24059-4 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifeng Du | 1 | 421 | 30.96 |
| Xiaoyi Jin | 2 | 9 | 2.64 |
| Jian Zhuang | 3 | 104 | 15.09 |
| Licheng Jiao | 4 | 5698 | 475.84 |
| Sun'an Wang | 5 | 34 | 5.40 |