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Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem

dc.contributor.authorAntônio Rigo, Cezar
dc.contributor.authorMorsch Filho, Edemar
dc.contributor.authorOriel Seman, Laio
dc.contributor.authorLoures, Luís
dc.contributor.authorReis Quietinho Leithardt, Valderi
dc.date.accessioned2025-01-14T15:48:18Z
dc.date.available2025-01-14T15:48:18Z
dc.date.issued2023-03-21
dc.date.updated2023-03-21T21:39:41Z
dc.description.abstractThis paper discusses several cases of the Offline Nanosatellite Task Scheduling (ONTS) optimization problem, which seeks to schedule the start and finish timings of payloads on a nanosatellite. Modeled after the FloripaSat-I mission, a nanosatellite, the examples were built expressly to test the performance of various solutions to the ONTS problem. Realistic input data for power harvesting calculations were used to generate the instances, and an instance creation procedure was employed to increase the instances’ difficulty. The instances are made accessible to the public to facilitate a fair comparison of various solutions and to aid in establishing a baseline for the ONTS problem. Additionally, the study discusses the various orbit types and their effects on energy harvesting and mission performance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/data8030062pt_PT
dc.identifier.slugcv-prod-3181981
dc.identifier.urihttp://hdl.handle.net/10400.26/53822
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.subjectinstance generationpt_PT
dc.subjectnanosatellitept_PT
dc.subjectQoSpt_PT
dc.subjectONTSpt_PT
dc.titleInstance and Data Generation for the Offline Nanosatellite Task Scheduling Problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F05064%2F2020/PT
oaire.citation.titleDatapt_PT
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaid0614-5834-E7F3 | Valderi Reis Quietinho Leithardt
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication0cd5c3a9-59a4-47a4-a519-49e2c2c24fcd
relation.isProjectOfPublication.latestForDiscovery0cd5c3a9-59a4-47a4-a519-49e2c2c24fcd

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