Name
Abstract | ||
|---|---|---|
In this paper, a mixture signal, which is composed of a periodical signal and an increasing level Direct Current (DC) signal, is used in this paper to amplify the diversity brought to the artificial agents in Evolved Bat Algorithm (EBA). In order to test the accuracy on finding the near best solutions, three test functions with known global optimum are used in the experiments. The experimental results indicate that our method improves the searching accuracy of EBA about 47.74 percent in average. © Springer International Publishing Switzerland 2016. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23204-1_3 | Advances in Intelligent Systems and Computing |
Keywords | Field | DocType |
Evolved bat algorithm,Swarm intelligence,Optimization | Direct current,Mathematical optimization,Bat algorithm,Computer science,Swarm intelligence,Global optimum | Conference |
Volume | ISSN | Citations |
387 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tsai Pei-Wei | 1 | 13 | 2.65 |
| Shunmiao Zhang | 2 | 0 | 0.34 |
| Yuan Liu | 3 | 0 | 0.34 |
| Yao He | 4 | 0 | 0.68 |
| Pan Jeng-Shyang | 5 | 2466 | 269.74 |