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Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity

dc.contributor.authorGil Gala, Francisco Javier 
dc.contributor.authorVarela Arias, José Ramiro 
dc.date.accessioned2019-11-14T10:21:48Z
dc.date.available2019-11-14T10:21:48Z
dc.date.issued2019
dc.identifier.isbn9783030196509
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/53065
dc.descriptionInternational Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC (8th . 2019. Almería, Spain)
dc.description.sponsorshipThis research has been supported by the Spanish Government under research project TIN2016-79190-R and by Principality of Asturias under grant IDI/2018/000176.
dc.format.extentp. 223-233
dc.language.isoeng
dc.relation.ispartofFrom Bioinspired Systems and Biomedical Applications to Machine Learning
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights© Springer Nature Switzerland AG 2019
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85065982056&doi=10.1007%2f978-3-030-19651-6_22&partnerID=40&md5=8c9697bd6ee6705a8eba19952c797e79
dc.titleGenetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-19651-6_22
dc.relation.projectIDTIN2016-79190-R
dc.relation.projectIDIDI/2018/000176
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-19651-6_22
dc.rights.accessRightsembargoed access
dc.type.hasVersionAM


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