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Robust makespan optimization via genetic algorithms on the scientific workflow scheduling problem

dc.contributor.authorBarredo, P.
dc.contributor.authorPuente Peinador, Jorge 
dc.date.accessioned2023-02-01T11:51:10Z
dc.date.available2023-02-01T11:51:10Z
dc.date.issued2022
dc.identifier.citationBarredo, P., Puente Peinador, J. (2022). Robust makespan optimization via genetic algorithms on the scientific workflow scheduling problem. En J. M. Ferrández Vicente, J. R. Álvarez Sánchez, F. de la Paz López, H. Adeli (eds). Bio-inspired systems and applications: from robotics to ambient intelligence. IWINAC 2022 (pp. 77-87). Cham: Springer
dc.identifier.isbn9783031065262
dc.identifier.isbn9783031065279
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/66050
dc.descriptionInternational Conference on the Interplay between Natural and Artificial Computation, IWINAC 2022 (9th. 2022. Tenerife, Spain)
dc.description.sponsorshipThis research has been supported by the Spanish Government under research grant PID2019-106263RB-I00.
dc.format.extentp. 77-87
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofseriesLecture Notes in Computer Science book series; v. 13259
dc.rights© Springer Nature
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85132119087&doi=10.1007%2f978-3-031-06527-9_8&partnerID=40&md5=0abdf1b22660d15c8011e3b02120b298
dc.titleRobust makespan optimization via genetic algorithms on the scientific workflow scheduling problem
dc.typejournal article
dc.identifier.doi10.1007/978-3-031-06527-9_8
dc.relation.projectIDPID2019-106263RB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-06527-9_8


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