Publicação
Synthesis of digital circuits with genetic algorithms: A fractional-order approach
| dc.contributor.author | Reis, Cecília | |
| dc.contributor.author | Tenreiro Machado, J. A. | |
| dc.contributor.author | Cunha, J. Boaventura | |
| dc.date.accessioned | 2019-04-09T10:36:02Z | |
| dc.date.available | 2019-04-09T10:36:02Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuits. The experiments reveal superior results in terms of speed and convergence to achieve a solution. | pt_PT |
| dc.description.version | N/A | pt_PT |
| dc.identifier.doi | 10.5281/zenodo.1079162 | pt_PT |
| dc.identifier.issn | 1304-2386 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/13488 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Genetic Algorithms | pt_PT |
| dc.subject | Logic Circuits | pt_PT |
| dc.subject | Circuit Design | pt_PT |
| dc.subject | Fractional-Order Systems | pt_PT |
| dc.title | Synthesis of digital circuits with genetic algorithms: A fractional-order approach | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 228 | pt_PT |
| oaire.citation.startPage | 223 | pt_PT |
| oaire.citation.title | International Journal of Computational Intelligence | pt_PT |
| oaire.citation.volume | 1 | pt_PT |
| person.familyName | Reis | |
| person.familyName | Tenreiro Machado | |
| person.givenName | Cecília | |
| person.givenName | J. A. | |
| person.identifier.ciencia-id | 7A18-4935-5B29 | |
| person.identifier.orcid | 0000-0001-6131-4677 | |
| person.identifier.orcid | 0000-0003-4274-4879 | |
| person.identifier.rid | M-2173-2013 | |
| person.identifier.scopus-author-id | 55989030100 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 8128af5d-07d3-4b24-944d-30fde21ae59b | |
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| relation.isAuthorOfPublication.latestForDiscovery | 8128af5d-07d3-4b24-944d-30fde21ae59b |