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Repairing Infeasibility in Scheduling via Genetic Algorithms

dc.contributor.authorMencía Cascallana, Raúl 
dc.contributor.authorMencía Cascallana, Carlos 
dc.contributor.authorVarela Arias, José Ramiro 
dc.date.accessioned2019-11-14T10:22:19Z
dc.date.available2019-11-14T10:22:19Z
dc.date.issued2019
dc.identifier.isbn9783030196509
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/53295
dc.descriptionInternational Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC (8th. 2019, Almería, Spain)
dc.description.sponsorshipThis research is supported by the Spanish Government under project TIN2016-79190-R and by the Principality of Asturias under grant IDI/2018/000176.
dc.format.extentp. 254-263
dc.language.isoeng
dc.relation.ispartofFrom Bioinspired Systems and Biomedical Applications to Machine Learning. 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II
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-s2.0-85065985642&doi=10.1007%2f978-3-030-19651-6_25&partnerID=40&md5=18bdfd30c915c92d78cf793b97652ffc
dc.titleRepairing Infeasibility in Scheduling via Genetic Algorithms
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-19651-6_25
dc.relation.projectIDTIN2016-79190-R
dc.relation.projectIDIDI/2018/000176
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-19651-6_25


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