Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/279| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jakimovski, Boro | en_US |
| dc.contributor.author | Sahpaski, Dragan | en_US |
| dc.contributor.author | Velinov, Goran | en_US |
| dc.date.accessioned | 2018-02-16T23:53:34Z | - |
| dc.date.available | 2018-02-16T23:53:34Z | - |
| dc.date.issued | 2009-09 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/279 | - |
| dc.publisher | IEEE | en_US |
| dc.title | Performance Improvement of Genetic Algorithms by Adaptive Grid Workflows | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing | en_US |
| dc.identifier.doi | 10.1109/synasc.2009.51 | - |
| dc.identifier.url | http://xplorestaging.ieee.org/ielx5/5459479/5460816/05460846.pdf?arnumber=5460846 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers | |
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