| dc.creator | Riff Rojas, María Cristina | |
| dc.date | 2000 | |
| dc.date | 2004-05-06T03:00:00Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/9386 | |
| dc.identifier | http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/acriteria.pdf | |
| dc.identifier | issn:1666-6038 | |
| dc.description | Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of problems. In this paper we propose a criterion to be able to evaluate the perfomance of genetic operators within evolutionary algorithms that solve CSp. | |
| dc.description | Facultad de Informática | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.relation | Journal of Computer Science & Technology | |
| dc.relation | vol. 1, no. 2 | |
| dc.rights | http://creativecommons.org/licenses/by-nc/3.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.title | A criteria to select genetic operators for solving CSP | |
| dc.type | Articulo | |
| dc.type | Articulo | |
