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Mendeley readers
| Chapter title |
MOP Evolutionary Algorithm Approaches
|
|---|---|
| Chapter number | 2 |
| Book title |
Evolutionary Algorithms for Solving Multi-Objective Problems
|
| Published by |
Springer, Boston, MA, January 2007
|
| DOI | 10.1007/978-0-387-36797-2_2 |
| Book ISBNs |
978-0-387-33254-3, 978-0-387-36797-2
|
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 6% |
| United Kingdom | 1 | 3% |
| Sweden | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 31 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Student > Master | 8 | 22% |
| Researcher | 7 | 19% |
| Student > Bachelor | 3 | 8% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 39% |
| Computer Science | 11 | 31% |
| Environmental Science | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 17% |