Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system

Literals

ou:bibtex
- @article{Chávez2018,title = {Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system},journal = {GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion},year = {2018},pages = {9-10},author = {Ch{\'a}vez, F. and Fdez De Vega, F. and D{\'i}az, J. and Garc{\'i}a, J.A. and Rodriguez, F.J. and Castillo, P.A.}}
bibo:isbn
- 9781450357647
ou:eid
- 2-s2.0-85051511734
dcterms:contributor
- F. Chávez; F. Fdez de Vega; J. Díaz; J. A. García; F. J. Rodriguez; P. A. Castillo
fabio:hasPublicationYear
- 2018
dcterms:creator
- Chávez F.
bibo:doi
- 10.1145/3205651.3208216
vivo:identifier
- 2018-763
bibo:page_range
- 9-10
dcterms:publisher
- GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
ou:tipoPublicacion
- Conference Paper
dcterms:title
- Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051511734&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85051511734&partnerID=MN8TOARS
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051511734&origin=inward
ou:vecesCitado
- 2