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 |
Grey Wolf Optimization (GWO) Algorithm
|
|---|---|
| Chapter number | 9 |
| Book title |
Advanced Optimization by Nature-Inspired Algorithms
|
| Published by |
Springer, Singapore, January 2018
|
| DOI | 10.1007/978-981-10-5221-7_9 |
| Book ISBNs |
978-9-81-105220-0, 978-9-81-105221-7
|
| Authors |
Hossein Rezaei, Omid Bozorg-Haddad, Xuefeng Chu, Rezaei, Hossein, Bozorg-Haddad, Omid, Chu, Xuefeng |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Doctoral Student | 4 | 6% |
| Unspecified | 3 | 5% |
| Student > Master | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 36 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 25% |
| Computer Science | 6 | 9% |
| Unspecified | 3 | 5% |
| Chemistry | 1 | 2% |
| Energy | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 38 | 58% |