An effective genetic algorithm for the flexible job-shop scheduling problem
Publisher:
Year
: 2011DOI: 10.1016/j.eswa.2010.08.145
Collections
:
-
Statistics
An effective genetic algorithm for the flexible job-shop scheduling problem
Show full item record
| contributor author | Guohui Zhang | |
| contributor author | Liang Gao | |
| contributor author | Yang Shi | |
| date accessioned | 2020-03-12T01:06:27Z | |
| date available | 2020-03-12T01:06:27Z | |
| date issued | 2011 | |
| identifier other | Tgjg4IPSq2fVAoqmkAHhPTfoF3vCBrZ4p2Eyu7F2A5L__u0ROi.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/702464 | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | An effective genetic algorithm for the flexible job-shop scheduling problem | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 5375012 | |
| identifier doi | 10.1016/j.eswa.2010.08.145 | |
| journal title | Expert Systems with Applications | |
| coverage | Academic | |
| pages | 3563-3573 | |
| journal volume | 38 | |
| journal issue | 4 | |
| filesize | 1433262 | |
| citations | 3 |


