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Production scheduling in the aquaculture industry based on bio-economic simulation and genetic algorithms

dc.contributor.authorLuna García, Manuel 
dc.contributor.authorFuente García, David Alfonso de la 
dc.contributor.authorParreño Fernández, José 
dc.contributor.authorLeón, O.
dc.date.accessioned2023-08-28T09:42:16Z
dc.date.available2023-08-28T09:42:16Z
dc.date.issued2023
dc.identifier.citationLuna, M., Fuente, D. de la, Parreño, J., León, O. (2023). Production scheduling in the aquaculture industry based on bio-economic simulation and genetic algorithms. En F. P. García Márquez, I. Segovia Ramírez, P. J. Bernalte Sánchez, A. Muñoz del Río (eds). IoT and data science in engineering management. CIO 2022 (pp. 130-135). Cham : Springer
dc.identifier.issn2367-4512
dc.identifier.urihttps://hdl.handle.net/10651/69469
dc.description.sponsorshipThis work was financially supported by the State Research Agency of the Spanish Ministry of Science and Innovation (MCIN/AEI/https://doi.org/10.13039/501100 011033), via the Project ‘Speeding Up the transition towards Resilient circular economy networks: forecasting, inventory and production control, reverse logistics and supply chain dynamics” (SPUR, grant ref. PID2020-117021GB-I00).
dc.format.extentp. 130-135
dc.language.isoeng
dc.relation.ispartofLecture Notes on Data Engineering and Communications Technologies
dc.rights© 2023 The author(s), under exclusive license to Springer Nature Switzerland AG
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85151499481&doi=10.1007%2f978-3-031-27915-7_25&partnerID=40&md5=a38aa00a88b97c500d2098383246844e
dc.titleProduction scheduling in the aquaculture industry based on bio-economic simulation and genetic algorithms
dc.typebook partspa
dc.identifier.doi10.1007/978-3-031-27915-7_25
dc.relation.projectIDMCIN/AEI/PID2020-117021GB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-27915-7_25


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