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 |
Optimization of Flow Shop Scheduling Through a Hybrid Genetic Algorithm for Manufacturing Companies
|
---|---|
Chapter number | 3 |
Book title |
Intelligent Computing, Information and Control Systems
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-30465-2_3 |
Book ISBNs |
978-3-03-030464-5, 978-3-03-030465-2
|
Authors |
Amelec Viloria, David Martínez Sierra, Sonia Ethel Duran, Etelberto Pallares Rambal, Hugo Hernández-Palma, Jairo Martínez Ventura, Alberto Roncallo Pichon, Leidy José Jinete Torres, Viloria, Amelec, Sierra, David Martínez, Duran, Sonia Ethel, Rambal, Etelberto Pallares, Hernández-Palma, Hugo, Ventura, Jairo Martínez, Pichon, Alberto Roncallo, Torres, Leidy José Jinete |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 22% |
Student > Master | 1 | 11% |
Professor | 1 | 11% |
Other | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 11% |
Business, Management and Accounting | 1 | 11% |
Social Sciences | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 5 | 56% |