| Title |
Improved Gravitation Field Algorithm and Its Application in Hierarchical Clustering
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049039 |
| Pubmed ID | |
| Authors |
Ming Zheng, Ying Sun, Gui-xia Liu, You Zhou, Chun-guang Zhou |
| Abstract |
Gravitation field algorithm (GFA) is a new optimization algorithm which is based on an imitation of natural phenomena. GFA can do well both for searching global minimum and multi-minima in computational biology. But GFA needs to be improved for increasing efficiency, and modified for applying to some discrete data problems in system biology. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Other | 2 | 20% |
| Professor | 1 | 10% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 30% |
| Computer Science | 2 | 20% |
| Engineering | 2 | 20% |
| Energy | 1 | 10% |
| Decision Sciences | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 1 | 10% |