Name
Abstract | ||
|---|---|---|
This paper presents an implementation of an artificial immune system in order to realise multi-modal function optimisation. The main paradigms of an artificial immune system axe clonal selection and affinity maturation. Therefore these paradigms are reviewed briefly. The optimisation is based on the opt-aiNet algorithm. This algorithm is described theoretically. Furthermore, the Griewank function has been used to test the algorithm with different parameters. The simulation results are discussed. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45224-9_41 | LECTURE NOTES IN COMPUTER SCIENCE |
Keywords | Field | DocType |
artificial immune system | Artificial immune system,Computer science,Affinity maturation,Immune system,Computational biology,Local search (optimization),Clonal selection | Conference |
Volume | ISSN | Citations |
2773 | 0302-9743 | 3 |
PageRank | References | Authors |
0.48 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Koester | 1 | 66 | 7.39 |
| Adolf Grauel | 2 | 34 | 9.56 |
| Georg Klene | 3 | 5 | 1.67 |
| Harold J. Convey | 4 | 3 | 1.49 |