ECJ+HADOOP: An easy way to deploy massive runs of evolutionary algorithms

Literals

dcterms:contributor
- Francisco Chávez; Francisco Fernández; César Benavides; Daniel Lanza; Juan Villegas; Leonardo Trujillo; Gustavo Olague; Graciela Román
dcterms:publisher
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
vivo:identifier
- 2016-614
ou:bibtex
- @article{Chávez2016,title = {ECJ+HADOOP: An easy way to deploy massive runs of evolutionary algorithms},journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},year = {2016},volume = {9598},pages = {91-106},author = {Ch{\'a}vez, F. and Fern{\'a}ndez, F. and Benavides, C. and Lanza, D. and Villegas, J. and Trujillo, L. and Olague, G. and Rom{\'a}n, G.}}
bibo:eissn
- 1611-3349
bibo:issn
- 0302-9743
ou:eid
- 2-s2.0-84962225378
bibo:doi
- 10.1007/978-3-319-31153-1_7
fabio:hasPublicationYear
- 2016
bibo:page_range
- 91-106
dcterms:creator
- Chávez F.
bibo:isbn
- 9783319311524
ou:tipoPublicacion
- Conference Paper
dcterms:title
- ECJ+HADOOP: An easy way to deploy massive runs of evolutionary algorithms
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962225378&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84962225378&partnerID=MN8TOARS
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962225378&origin=inward
ou:vecesCitado
- 7
bibo:volume
- 9598