| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kratica, Jozef | - |
| dc.contributor.author | Tošić, Dušan | - |
| dc.contributor.author | Filipović, Vladimir | - |
| dc.contributor.author | Ljubić, Ivana | - |
| dc.date.accessioned | 2020-07-01T14:34:07Z | - |
| dc.date.available | 2020-07-01T14:34:07Z | - |
| dc.date.issued | 2000 | - |
| dc.identifier.isbn | 951-22-5205-8 | - |
| dc.identifier.uri | http://researchrepository.mi.sanu.ac.rs/handle/123456789/3501 | - |
| dc.description.abstract | A genetic algorithm (GA) is proposed for solving one continuous min-max global optimization problem arising from the synthesis of radar polyphase codes. GA implementation is successfully applied to this problem and it solves instances with n up to 20. Computational results are compared to other algorithms (implicit enumeration technique, Monte Carlo method and tabu search). In some cases, GA outperforms all of them. | - |
| dc.publisher | IEEE | - |
| dc.title | Genetic algorithm for designing a spread-spectrum radar polyphase code | - |
| dc.type | Conference Paper | - |
| dc.relation.conference | 5th Online World Conference on Soft Computing Methods in Industrial Applications | - |
| dc.identifier.url | https://vladofilipovic.github.io/Science/Papers/A6.2-5.pdf | - |
| dc.contributor.affiliation | Mathematical Institute of the Serbian Academy of Sciences and Arts | - |
| dc.relation.firstpage | 191 | - |
| dc.relation.lastpage | 197 | - |
| dc.description.rank | M30 | - |
| item.openairetype | Conference Paper | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.orcid | 0000-0002-9752-0971 | - |
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