You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements
|
|---|---|
| Chapter number | 10 |
| Book title |
Parameter Setting in Evolutionary Algorithms
|
| Published by |
Springer, Berlin, Heidelberg, January 2007
|
| DOI | 10.1007/978-3-540-69432-8_10 |
| Book ISBNs |
978-3-54-069431-1, 978-3-54-069432-8
|
| Authors |
Tian-Li Yu, Kumara Sastry, David E. Goldberg, Yu, Tian-Li, Sastry, Kumara, Goldberg, David E. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 5% |
| Poland | 1 | 5% |
| Germany | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 17 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Professor > Associate Professor | 4 | 19% |
| Lecturer | 3 | 14% |
| Student > Master | 3 | 14% |
| Other | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 38% |
| Engineering | 8 | 38% |
| Business, Management and Accounting | 3 | 14% |
| Decision Sciences | 1 | 5% |
| Unknown | 1 | 5% |